{
  "total": 316,
  "topics": [
    {
      "id": 177115,
      "title": "New to Machine Learning or to Kaggle? Check this out.",
      "comment_count": 8,
      "views": 0,
      "votes": 17
    },
    {
      "id": 177114,
      "title": "Looking for a Team Megathread",
      "comment_count": 174,
      "views": 0,
      "votes": 27
    },
    {
      "id": 187825,
      "title": "L5Kit 1.1.0 Released",
      "comment_count": 29,
      "views": 0,
      "votes": 30
    },
    {
      "id": 177414,
      "title": "External Data Disclosure Thread",
      "comment_count": 54,
      "views": 0,
      "votes": 35
    },
    {
      "id": 179246,
      "title": "Dataset Tutorial Recording and Q&A Resources",
      "comment_count": 2,
      "views": 0,
      "votes": 41
    },
    {
      "id": 177406,
      "title": "Welcome from hosts!",
      "comment_count": 23,
      "views": 0,
      "votes": 81
    },
    {
      "id": 180008,
      "title": "Are You a TPU Star?",
      "comment_count": 10,
      "views": 0,
      "votes": 15
    },
    {
      "id": 180359,
      "title": "OpenGL image rendering on GPU",
      "comment_count": 29,
      "views": 0,
      "votes": 55
    },
    {
      "id": 177705,
      "title": "How to install l5kit on windows 10 anaconda environment(multi processing error)",
      "comment_count": 24,
      "views": 0,
      "votes": 10
    },
    {
      "id": 177134,
      "title": "Baidu ApolloScape Trajectory Prediction",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 177541,
      "title": "GPU not working with Pytorch!",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 200812,
      "title": "[Pet project]: Traffic lights modelling",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 199583,
      "title": "Our GPU rasterizer",
      "comment_count": 9,
      "views": 0,
      "votes": 27
    },
    {
      "id": 222812,
      "title": "VectorNet explained",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 199494,
      "title": "22nd place journey : a completely different motion prediction approach",
      "comment_count": 19,
      "views": 0,
      "votes": 49
    },
    {
      "id": 220576,
      "title": "Lyft Motion Prediction for Autonomous Vehicles Follow-up",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 199711,
      "title": "10th place solution (vectornet)",
      "comment_count": 17,
      "views": 0,
      "votes": 40
    },
    {
      "id": 201493,
      "title": "1st Place Solution & L5Kit Speedup",
      "comment_count": 31,
      "views": 0,
      "votes": 82
    },
    {
      "id": 205376,
      "title": "3rd Place Solution: Baseline + Set Transformer",
      "comment_count": 7,
      "views": 0,
      "votes": 27
    },
    {
      "id": 202377,
      "title": "Blog post: Autonomous Driving Dataset Visualization with Python and VizViewer",
      "comment_count": 1,
      "views": 0,
      "votes": 16
    },
    {
      "id": 199506,
      "title": "Request to the people that are willing to share the code ",
      "comment_count": 1,
      "views": 0,
      "votes": 22
    },
    {
      "id": 201470,
      "title": "Lyft  Top solutions and approaches",
      "comment_count": 4,
      "views": 0,
      "votes": 13
    },
    {
      "id": 200035,
      "title": "23rd solution (single model based on Resnet18)",
      "comment_count": 3,
      "views": 0,
      "votes": 18
    },
    {
      "id": 199657,
      "title": "4th place solution: Ensemble with GMM",
      "comment_count": 26,
      "views": 0,
      "votes": 58
    },
    {
      "id": 201143,
      "title": "14th place solution. Custom Mask and LSTM encoder/decoder",
      "comment_count": 1,
      "views": 0,
      "votes": 23
    },
    {
      "id": 193681,
      "title": "How to setup Google Cloud in kaggle",
      "comment_count": 16,
      "views": 0,
      "votes": 3
    },
    {
      "id": 199829,
      "title": "One nice thing I observed in this competition ... Thanks to @iglovikov",
      "comment_count": 10,
      "views": 0,
      "votes": 22
    },
    {
      "id": 201524,
      "title": "Lyft Motion Prediction: Shakeup scatterplot",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 199636,
      "title": "9th place solution",
      "comment_count": 20,
      "views": 0,
      "votes": 45
    },
    {
      "id": 199649,
      "title": "7th place solution - Peter & Beluga ",
      "comment_count": 5,
      "views": 0,
      "votes": 36
    },
    {
      "id": 199588,
      "title": "6th place:  Micro-inputs, Lots of Data + Distance Order to Ensemble!",
      "comment_count": 18,
      "views": 0,
      "votes": 31
    },
    {
      "id": 199755,
      "title": "21st solution: freeze and stage-wise training",
      "comment_count": 1,
      "views": 0,
      "votes": 26
    },
    {
      "id": 201963,
      "title": "Have anyone measured ADE \\ FDE metrics?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 199633,
      "title": "[Question] Host result verification",
      "comment_count": 14,
      "views": 0,
      "votes": 9
    },
    {
      "id": 199499,
      "title": "Best single model",
      "comment_count": 42,
      "views": 0,
      "votes": 21
    },
    {
      "id": 199079,
      "title": "Zoom presentation/discussion on this competition",
      "comment_count": 14,
      "views": 0,
      "votes": 33
    },
    {
      "id": 199491,
      "title": "Congrats 🎊",
      "comment_count": 7,
      "views": 0,
      "votes": 13
    },
    {
      "id": 182979,
      "title": "Look for a team",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 199890,
      "title": "Why concating metadata with deep neural network output doesn't work?",
      "comment_count": 8,
      "views": 0,
      "votes": 6
    },
    {
      "id": 199531,
      "title": "What ensemble method did you use?",
      "comment_count": 21,
      "views": 0,
      "votes": 12
    },
    {
      "id": 200480,
      "title": "Are any previous methods valid?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 197373,
      "title": "How much time did you spend on reading L5kit code?",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 199541,
      "title": "Things I have tried and my final solution",
      "comment_count": 22,
      "views": 0,
      "votes": 22
    },
    {
      "id": 199800,
      "title": "Code + Simple Ensemble Notebook",
      "comment_count": 0,
      "views": 0,
      "votes": 17
    },
    {
      "id": 199476,
      "title": "What is the Psi magic?",
      "comment_count": 16,
      "views": 0,
      "votes": 14
    },
    {
      "id": 199617,
      "title": "[Summary] 42nd place - What I did briefly, Single Model",
      "comment_count": 8,
      "views": 0,
      "votes": 13
    },
    {
      "id": 199719,
      "title": "classification approach",
      "comment_count": 5,
      "views": 0,
      "votes": 11
    },
    {
      "id": 199497,
      "title": "The baseline model seems doing pretty well",
      "comment_count": 7,
      "views": 0,
      "votes": 16
    },
    {
      "id": 199986,
      "title": "Top solutions without ConvNet?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 199244,
      "title": "Faster draw_boxes function for l5kit and some comment on the l5kit package",
      "comment_count": 7,
      "views": 0,
      "votes": 9
    },
    {
      "id": 199540,
      "title": "25nd place Summary",
      "comment_count": 4,
      "views": 0,
      "votes": 13
    },
    {
      "id": 199423,
      "title": "Best of luck!",
      "comment_count": 10,
      "views": 0,
      "votes": 8
    },
    {
      "id": 199498,
      "title": "Looking into the future",
      "comment_count": 7,
      "views": 0,
      "votes": 9
    },
    {
      "id": 199629,
      "title": "RNNs anyone?",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 199433,
      "title": "Trouble in Paradise",
      "comment_count": 12,
      "views": 0,
      "votes": 5
    },
    {
      "id": 199406,
      "title": "Ideas that looked good but didn't work",
      "comment_count": 14,
      "views": 0,
      "votes": 4
    },
    {
      "id": 199812,
      "title": "How Did you Select the final two submissions?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 199485,
      "title": "Moving bottleneck from CPU to GPU",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 199523,
      "title": "Random undersampling by cumulative distance - maybe it doesn't seem to work",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 198261,
      "title": "Last ideas of the competition",
      "comment_count": 19,
      "views": 0,
      "votes": 8
    },
    {
      "id": 199226,
      "title": "Sign up for January results share-out webinar",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 198741,
      "title": "Error in the agent yaw",
      "comment_count": 10,
      "views": 0,
      "votes": 3
    },
    {
      "id": 199361,
      "title": "My confuse about target_position",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 199409,
      "title": "Submission error",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 198784,
      "title": "Final submission. Quick submission or Commit ???",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 199075,
      "title": "Human Motion Trajectory Prediction: A Survey",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 198590,
      "title": "What are the extent sizes of the host cars?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 188330,
      "title": "Did anyone try non-ML methods?",
      "comment_count": 9,
      "views": 0,
      "votes": 22
    },
    {
      "id": 198106,
      "title": "The dataloader - .zarr cache issue",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 198700,
      "title": "Why it takes more than 2 hours for simply reading all test timestamps and agent ids?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 198716,
      "title": "submission rule about private data",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 198893,
      "title": "semantic coordinates conversion",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 198845,
      "title": "lane direction in semantic rasterizer",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 198680,
      "title": "Public leaderboard open beyond the deadline?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 197724,
      "title": "Error per intersection/road",
      "comment_count": 4,
      "views": 0,
      "votes": 10
    },
    {
      "id": 196602,
      "title": "Bag of optimization tricks",
      "comment_count": 29,
      "views": 0,
      "votes": 40
    },
    {
      "id": 196640,
      "title": "BIG LB Score Fluctuations",
      "comment_count": 8,
      "views": 0,
      "votes": 7
    },
    {
      "id": 195729,
      "title": "Lyft Track ID Does Not Matter",
      "comment_count": 15,
      "views": 0,
      "votes": 22
    },
    {
      "id": 195408,
      "title": "effect of  \"history_availabilities\"",
      "comment_count": 2,
      "views": 0,
      "votes": 10
    },
    {
      "id": 197186,
      "title": "Calculate loss in image coordinates",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 196796,
      "title": "public/private set",
      "comment_count": 2,
      "views": 0,
      "votes": 18
    },
    {
      "id": 195781,
      "title": "Question: How many samples to train on to get competitive results?",
      "comment_count": 8,
      "views": 0,
      "votes": 7
    },
    {
      "id": 193908,
      "title": "multi-mode trick",
      "comment_count": 75,
      "views": 0,
      "votes": 39
    },
    {
      "id": 193764,
      "title": "Fastai in Lyft",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 196454,
      "title": "how to ensemble multi trajectory predictions for the final submission?",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 196107,
      "title": "Understanding Scoring metrics",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 196934,
      "title": "i cant use pip install l5kit to import  ",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 195936,
      "title": "How to solve pytorch DataLoader parallelization issue on Windows",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 196699,
      "title": "Regarding training loss(avg)",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 195915,
      "title": "Is my model overfitting?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 195592,
      "title": "Visualization of you prediction",
      "comment_count": 8,
      "views": 0,
      "votes": 27
    },
    {
      "id": 196365,
      "title": "optimizer weights saving?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 192550,
      "title": "confidences should sum to 1 is killing me ...",
      "comment_count": 9,
      "views": 0,
      "votes": 4
    },
    {
      "id": 196589,
      "title": "What does the extent in the agents dataset mean?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 195879,
      "title": "[QUESTION TO THE HOST] Is the tfrecords dataset compatible with the latest l5kit?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 196439,
      "title": "Notebook commit problem?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 196115,
      "title": "Using LRFinder with the AgentDataset",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 195333,
      "title": "GCP increase quota issue",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 195259,
      "title": "Fix L5kit memory leak on Windows 10",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 195535,
      "title": "final submission format",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 185762,
      "title": "Large deviation between training loss and evaluation loss",
      "comment_count": 66,
      "views": 0,
      "votes": 41
    },
    {
      "id": 191599,
      "title": "An incomplete summary of different approaches",
      "comment_count": 8,
      "views": 0,
      "votes": 50
    },
    {
      "id": 195851,
      "title": "Meanings for some of the data",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 195341,
      "title": "A notebook that can be run on kaggle and Google Colab.",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 195234,
      "title": "How to avoid revisiting same data after resuming from a checkpoint?",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 188695,
      "title": "Validation vs LB score",
      "comment_count": 43,
      "views": 0,
      "votes": 45
    },
    {
      "id": 193858,
      "title": "Redundancy of the `transform_points` in the l5kit package for prediction?",
      "comment_count": 8,
      "views": 0,
      "votes": 6
    },
    {
      "id": 195303,
      "title": "How does num_workers work?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 195578,
      "title": "Install proper version of library",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 195094,
      "title": "Where is the traffic_light_faces data in the data loader?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 194739,
      "title": "Agent Dataset - Histories of Agents",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 194278,
      "title": "Agmentation",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 192458,
      "title": "Is there any success in using solely Kaggle/Colab for training?",
      "comment_count": 17,
      "views": 0,
      "votes": 5
    },
    {
      "id": 194025,
      "title": "Validation procedure",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 194396,
      "title": "Difficulties to understand exact problem and data",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 193879,
      "title": "Question: Pytorch saving and loading models for resuming the training process",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 187376,
      "title": "GCP Credits",
      "comment_count": 16,
      "views": 0,
      "votes": 16
    },
    {
      "id": 193299,
      "title": "Sharing my story and this kaggler needs your support ",
      "comment_count": 5,
      "views": 0,
      "votes": 26
    },
    {
      "id": 193791,
      "title": "Invisible Cars",
      "comment_count": 2,
      "views": 0,
      "votes": 12
    },
    {
      "id": 191890,
      "title": "[Method discussion] Learning Lane Graph Representationsfor Motion Forecasting and LaneGCN",
      "comment_count": 15,
      "views": 0,
      "votes": 12
    },
    {
      "id": 193360,
      "title": "Training Loss vs Eval Loss deviation issue - the simplest solution",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 194253,
      "title": "RuntimeWarning:  disable_traffic_light_faces not found in config",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 194128,
      "title": "[Method discussion] Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 193143,
      "title": "LSTM insights",
      "comment_count": 14,
      "views": 0,
      "votes": 10
    },
    {
      "id": 189996,
      "title": "How can we train for long time?",
      "comment_count": 63,
      "views": 0,
      "votes": 4
    },
    {
      "id": 178323,
      "title": "Image and raster size selection",
      "comment_count": 44,
      "views": 0,
      "votes": 94
    },
    {
      "id": 193253,
      "title": "Vision transformers: training + inference",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 193235,
      "title": "Is the `history_positions` backward in time?",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 182428,
      "title": "Running into a memory leak with the Agent Dataset",
      "comment_count": 29,
      "views": 0,
      "votes": 12
    },
    {
      "id": 177662,
      "title": "Reduce submission time to ~10-15 minutes",
      "comment_count": 15,
      "views": 0,
      "votes": 54
    },
    {
      "id": 191850,
      "title": "Efficient use of $300 credits for 1 month experiments",
      "comment_count": 22,
      "views": 0,
      "votes": 13
    },
    {
      "id": 193159,
      "title": "Model input and output sizes  ",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 193050,
      "title": "agents_mask",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 193150,
      "title": "Agents data iterator ",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 192496,
      "title": "Traffic light ahead of agent",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 192650,
      "title": "how to get data from GCS Bucket",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 186492,
      "title": "We did it all wrong",
      "comment_count": 107,
      "views": 0,
      "votes": 117
    },
    {
      "id": 183814,
      "title": "Improving convergence and sample efficiency",
      "comment_count": 26,
      "views": 0,
      "votes": 32
    },
    {
      "id": 190929,
      "title": "Got TypeError: can't pickle google.protobuf.pyext in the example",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 192609,
      "title": "OT: Traffic flow simulation",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 187366,
      "title": "What is the Raster Class?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 182787,
      "title": "Dataset Size / Model Performance Tradeoff",
      "comment_count": 35,
      "views": 0,
      "votes": 33
    },
    {
      "id": 192503,
      "title": "OS error in the starter notebook",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 192304,
      "title": "Lyft Camera Picture Collection Rate",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 192380,
      "title": "Running full dataset issue",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 190594,
      "title": "Help stop Plagiarism activity",
      "comment_count": 37,
      "views": 0,
      "votes": 30
    },
    {
      "id": 191932,
      "title": "What about the ground truth of the modes of agents?",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 192245,
      "title": "Why is my loss function returning nan after a few steps?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 191884,
      "title": "how to ensemble different submissions for private leaderboard",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 191042,
      "title": "How important is augmentation when you’ve got a massive dataset?",
      "comment_count": 9,
      "views": 0,
      "votes": 17
    },
    {
      "id": 192015,
      "title": "Help looking for a certain scene",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 188792,
      "title": "What about agent misclassifications?",
      "comment_count": 18,
      "views": 0,
      "votes": 10
    },
    {
      "id": 191624,
      "title": "Can anyone fix this",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 182869,
      "title": "Now i have some issues which could not over come when i run locally \"AttributeError: Can't pickle local object \"StringEncoder.<locals>.EncodeField\" ",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 191003,
      "title": "evaluation metric",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 178245,
      "title": "Experience: Deep of Backbone",
      "comment_count": 5,
      "views": 0,
      "votes": 17
    },
    {
      "id": 191027,
      "title": "How Lyft Uses PyTorch to Power Machine Learning for Their Self-Driving Cars",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 177637,
      "title": "How to improve training time",
      "comment_count": 29,
      "views": 0,
      "votes": 60
    },
    {
      "id": 191662,
      "title": "429 - too many requests error",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 186921,
      "title": "How are you Validating?",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 190096,
      "title": "Error: Confidences should sum to 1",
      "comment_count": 14,
      "views": 0,
      "votes": 8
    },
    {
      "id": 189901,
      "title": "Reproduce Dataloaders for comparing models",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 186029,
      "title": "Error: track_ID[0] not found or out of bound. ",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 190761,
      "title": "Can anybody tell me what's going wrong?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 189516,
      "title": "Time Machine Rule",
      "comment_count": 1,
      "views": 0,
      "votes": 18
    },
    {
      "id": 190944,
      "title": "How to use train.zarr ?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 190609,
      "title": "[SOLVED] Error using chopped dataset",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 180924,
      "title": "Error in create_chopped_dataset",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 190662,
      "title": "UNKNOWN agents",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 190496,
      "title": "Does more layers suggest better score?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 190612,
      "title": "Host Benchmark",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 190519,
      "title": "Rotation transformational inputs",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 190331,
      "title": "AdamP Optimisation follow up?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 189043,
      "title": "Disappearing Inference Time Limitations",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 180931,
      "title": "How to ensemble multi-trajectory predictions?",
      "comment_count": 21,
      "views": 0,
      "votes": 19
    },
    {
      "id": 188368,
      "title": "Augmentation considerations",
      "comment_count": 1,
      "views": 0,
      "votes": 12
    },
    {
      "id": 189458,
      "title": "_meta.json",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 189530,
      "title": "Google Cloud",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 189030,
      "title": "l5kit evaluation metric",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 188971,
      "title": "Is there anything I should pay attention to when upgrading L5kit?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 188987,
      "title": "recent submissions are very bad!",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 188845,
      "title": "If you cannot find GPU after using kaggle_l5kit and using torch",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 187356,
      "title": "Evaluation metrics",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 188010,
      "title": "The leaderboard just got a completely new look!",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 186814,
      "title": "Lyft Kit not installing with pip",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 178124,
      "title": "Non deep learning approaches",
      "comment_count": 1,
      "views": 0,
      "votes": 23
    },
    {
      "id": 187920,
      "title": "What can a CNN do?",
      "comment_count": 0,
      "views": 0,
      "votes": 13
    },
    {
      "id": 187773,
      "title": "Exploding Gradient [NaN Output Values]",
      "comment_count": 0,
      "views": 0,
      "votes": 18
    },
    {
      "id": 187018,
      "title": "Building a Motion Prediction Model for Autonomous Vehicles",
      "comment_count": 10,
      "views": 0,
      "votes": 9
    },
    {
      "id": 188172,
      "title": "Torch can not find GPU after GPU is switched on",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 188257,
      "title": "Anyone using tensorflow 2.0/Keras for training ? ",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 187780,
      "title": "Training masks for faster prototyping",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 186881,
      "title": "List of Important Research Papers for Competition",
      "comment_count": 2,
      "views": 0,
      "votes": 16
    },
    {
      "id": 186256,
      "title": "Better optimization: AdamP",
      "comment_count": 6,
      "views": 0,
      "votes": 32
    },
    {
      "id": 186242,
      "title": "Research papers",
      "comment_count": 6,
      "views": 0,
      "votes": 44
    },
    {
      "id": 186369,
      "title": "TPU Baseline: 1% Pubic LB now",
      "comment_count": 3,
      "views": 0,
      "votes": 11
    },
    {
      "id": 186767,
      "title": "Expected Error: Inaccuracy from Rasterization",
      "comment_count": 8,
      "views": 0,
      "votes": 7
    },
    {
      "id": 177408,
      "title": "Clarification on our outputs",
      "comment_count": 6,
      "views": 0,
      "votes": 7
    },
    {
      "id": 187740,
      "title": "Multi-mode submission error",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 186770,
      "title": "LearningRate Finder ",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 183594,
      "title": "Motion prediction with PointNet",
      "comment_count": 3,
      "views": 0,
      "votes": 31
    },
    {
      "id": 186206,
      "title": "**ERROR: Command errored out with exit status 1**",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 183915,
      "title": "What are contained in 'agents_mask'? How to read it ?",
      "comment_count": 9,
      "views": 0,
      "votes": 4
    },
    {
      "id": 177125,
      "title": "CUDA is not available?!",
      "comment_count": 15,
      "views": 0,
      "votes": 17
    },
    {
      "id": 186560,
      "title": "How to use tfrecords in pytorch-xla ?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 186495,
      "title": "Agent Positions from Zarr File",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 182194,
      "title": "Summary of the research paper",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 186400,
      "title": "How Lyft Line and UberPool works",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 185214,
      "title": "A meme for fun",
      "comment_count": 3,
      "views": 0,
      "votes": 12
    },
    {
      "id": 186015,
      "title": "[Solved] ModuleNotFoundError: No module named 'l5kit'",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 182558,
      "title": "Cannot install l5kit",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 183795,
      "title": "Approaches to build Self Driving Cars",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 186016,
      "title": "convert kernel to csv competition",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 183564,
      "title": "Motion Prediction of Traffic Actors: Papers, Surveys, Videos, etc.",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 185211,
      "title": "EfficientDet, semantic segmentation",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 185244,
      "title": "What are the definitions of the different coordinate systems?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 183797,
      "title": "Platforms to test self driving car models",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 185260,
      "title": "TensorFlow issue",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 183527,
      "title": "Deep Conditional Generative Models (AKA Conditional Variational Auto-encoders)",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 183999,
      "title": "Why does ECEF have 4 floating numbers?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 183220,
      "title": "Multi Mode Bagging : the main idea in a picture",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 182519,
      "title": "Train using Google Colab (No Pro) ",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 183456,
      "title": "TPUs Never Die 😈",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 182397,
      "title": "Getting Satellite map coordinates from agent centroids ",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 177361,
      "title": "Newbie question to pioneers: How the Score is calculated? ",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 181751,
      "title": "Regarding agent sampling ",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 180316,
      "title": "Colab training",
      "comment_count": 14,
      "views": 0,
      "votes": 5
    },
    {
      "id": 181755,
      "title": "pip intall l5kit error in my notebook",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 182618,
      "title": "About Lyft and Summary of  dataset paper",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 182117,
      "title": "Whats the meaning of evaluation against 50% test set on LB?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 182304,
      "title": "Question about target_availibilities.",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 177251,
      "title": "🔴 Deep Learning for Self-Driving Cars Tutorials [Youtube Playlist]",
      "comment_count": 6,
      "views": 0,
      "votes": 42
    },
    {
      "id": 180491,
      "title": "extra data on level5 website?",
      "comment_count": 20,
      "views": 0,
      "votes": 6
    },
    {
      "id": 182174,
      "title": "l5kit.data import error [Solved]",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 181355,
      "title": "Inference in local machines or on Kaggle Notebooks?",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 180111,
      "title": "Summary of Behavior Prediction Paper",
      "comment_count": 3,
      "views": 0,
      "votes": 38
    },
    {
      "id": 177912,
      "title": "Competition Rules Question",
      "comment_count": 11,
      "views": 0,
      "votes": 4
    },
    {
      "id": 181927,
      "title": "Inference on test.zarr not possible on Kaggle?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 181729,
      "title": "l5kit installment issue",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 181324,
      "title": "Question about timestamps",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 181479,
      "title": "\"Egodataset\" means?",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 179969,
      "title": "@Host: About agent filter for test data",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 181167,
      "title": "Additional powerful hardware is necessary?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 180971,
      "title": "Installing L5Kit on Local Machine and Running Successfully",
      "comment_count": 8,
      "views": 0,
      "votes": null
    },
    {
      "id": 181422,
      "title": "Example notebooks in lyft repository",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 181205,
      "title": "I tried lot and got same error i could not able to rectify this i done with new env and install torch 1.5.0 even thought it showing this error ",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 177113,
      "title": "Research Papers",
      "comment_count": 5,
      "views": 0,
      "votes": 29
    },
    {
      "id": 180468,
      "title": "Lyft, Understanding the Complete scenerio.",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 180463,
      "title": "Beyond L2 Loss",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 178781,
      "title": "Extracting insights from Dataset paper",
      "comment_count": 5,
      "views": 0,
      "votes": 25
    },
    {
      "id": 180707,
      "title": "Understanding image output of AgentDataset ",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 179236,
      "title": "Is this the way how the autonomous car predicts motions?",
      "comment_count": 9,
      "views": 0,
      "votes": 13
    },
    {
      "id": 177110,
      "title": "Lyft Level5 Resources",
      "comment_count": 14,
      "views": 0,
      "votes": 57
    },
    {
      "id": 180952,
      "title": "Useful Resources ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 177428,
      "title": "Lyft l5kit Starting Points",
      "comment_count": 2,
      "views": 0,
      "votes": 14
    },
    {
      "id": 177255,
      "title": "How can I use l5kit without an internet connection?",
      "comment_count": 9,
      "views": 0,
      "votes": 4
    },
    {
      "id": 180481,
      "title": "Is the time between frames the same in training and test?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 177376,
      "title": "[EgoDataset and AgentDataset related questions] ",
      "comment_count": 8,
      "views": 0,
      "votes": 10
    },
    {
      "id": 180285,
      "title": "how can we add \"agent_motion_config.yaml\" file to kaggle notebooks?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 180317,
      "title": "Anyone live in Palo Alto?!",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 180544,
      "title": "l5kit installation issue ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 178319,
      "title": "@Host : Clarification regarding 4th Agent in Data Format description",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 178097,
      "title": "what is the data in each image channel?",
      "comment_count": 5,
      "views": 0,
      "votes": 23
    },
    {
      "id": 178844,
      "title": "Frame and Timestamp",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 177657,
      "title": "Proposal to collaborate",
      "comment_count": 6,
      "views": 0,
      "votes": -3
    },
    {
      "id": 179045,
      "title": "One Thousand and One Hours: Self-driving Motion Prediction Dataset",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 179778,
      "title": "Issues while installing l5kit ",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 178554,
      "title": "External Academic Use of Data",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 177878,
      "title": "Lyft data as CSV files",
      "comment_count": 4,
      "views": 0,
      "votes": 16
    },
    {
      "id": 177130,
      "title": "Basics of Motion prediction for AVs in under 10min",
      "comment_count": 4,
      "views": 0,
      "votes": 42
    },
    {
      "id": 178691,
      "title": "Memory allocation error while testing",
      "comment_count": 4,
      "views": 0,
      "votes": -1
    },
    {
      "id": 177944,
      "title": "Simple constant velocity extrapolation baseline",
      "comment_count": 0,
      "views": 0,
      "votes": 16
    },
    {
      "id": 178974,
      "title": "Data Shape Intuition",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 177152,
      "title": "List of Similar competitions , starter notebooks, discussion and links",
      "comment_count": 2,
      "views": 0,
      "votes": 16
    },
    {
      "id": 178684,
      "title": "Visualization Example in Notebook",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 177613,
      "title": "MacOS agent_motion_prediction crashes",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 177147,
      "title": "A starting point for this competition",
      "comment_count": 1,
      "views": 0,
      "votes": 14
    },
    {
      "id": 177194,
      "title": "GANs for predicting trajectory",
      "comment_count": 0,
      "views": 0,
      "votes": 19
    },
    {
      "id": 177377,
      "title": "Licenses - CC-BY-NC-SA-4.0",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 177430,
      "title": "Issue installing l5kit",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 177803,
      "title": "l5kit installation issue ( requirement issue with torch vision )",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 177833,
      "title": "What is the baseline score for GCS access?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 177549,
      "title": "Freezing issue fixed (temporary solution)",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 177813,
      "title": "looking for a team",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 177310,
      "title": "What is \"ego_translation\"?",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 177873,
      "title": "Optical flow in motion prediction",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 177531,
      "title": "Pytorch XLA",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 177961,
      "title": "My Mom told me to read a 'awesome list' and a 'survey document' without diving deep into a topic.",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 177116,
      "title": "Some advice",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 178087,
      "title": "Lyft's Config File to Visualize?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 178047,
      "title": "Input and output formats",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 177474,
      "title": "Submission using submission.csv from training instead of making predictions",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 177289,
      "title": "About autonomous vehicles",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 177555,
      "title": "Lyft Mapping Techniques",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 177213,
      "title": "Useful resources for Lyft Level 5",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 177249,
      "title": "The starting point of this competition",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 177103,
      "title": "Dataset overlap with other Lyft Level 5 Data?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 177124,
      "title": "Comparison of dataset provided here Vs provided in lyft's website",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 177157,
      "title": "Training is not required in Notebooks?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 177345,
      "title": "Possible Workaround for Submission Bug / Question on Code Competition",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 177687,
      "title": "Question about Dataset",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 177179,
      "title": "The list of the lectures about s-d vehicles (2018-2019)",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 177292,
      "title": "ZARR Files",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 177138,
      "title": "No internet access enabled?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 177184,
      "title": "Self-driving datasets",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 177532,
      "title": "Pytorch XLA",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 177484,
      "title": "How to install the Lyft module and its dependencies without internnet access?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 177252,
      "title": "L5kit in R",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 177405,
      "title": "Does evaluation on validation dataset take too long?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 177492,
      "title": "......................",
      "comment_count": 5,
      "views": 0,
      "votes": -16
    },
    {
      "id": 177126,
      "title": "Input/Prediction length",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 177199,
      "title": "Link To EU projects Public datasets",
      "comment_count": 0,
      "views": 0,
      "votes": -3
    },
    {
      "id": 177099,
      "title": "                    [deleted]",
      "comment_count": 2,
      "views": 0,
      "votes": -15
    },
    {
      "id": 177233,
      "title": "Can anyone suggest the resuorses to learn about this competition",
      "comment_count": 2,
      "views": 0,
      "votes": -13
    },
    {
      "id": 177232,
      "title": "What need to be predicted please guide.",
      "comment_count": 0,
      "views": 0,
      "votes": -13
    },
    {
      "id": 177234,
      "title": "Can anyone suggest the resources to learn about this competition?",
      "comment_count": 0,
      "views": 0,
      "votes": -12
    }
  ],
  "errors": []
}