I thought of compiling an awesome list of Kernels and resources for this type of competitions thought it would be useful for this competition. I will be adding and updating this writeup throughout the competition if I came across more such competitions .
\nRecent Computer Vision Competitions in Medical Domain
\nGetting Started With TPUs
\nIf you don't know about it TPUs allows to train models across multiple accelerators which allows faster training of Models .
Follow this Youtube Tutorial to get started.
An Awesome Video Session by Grandmasters Chris Deotte and Abhishek Thakur , whether you are using Tensorflow Keras or Pytorch you will find it highly Useful , the video can be found https://www.youtube.com/watch?v=DEuvGh4ZwaY&list=PLqFaTIg4myu-1c3ygYzakW8-hNzQG59-5&index=6
A Very Nice Notebook for getting started with TPU including training can be found here
Chris Deotte's awesome Notebook on Augmentation can be found here
I also researched and posted some of Ninja Techniques for TPU usage which can be found here , may be you might find some of them useful .
**Some Awesome Kernels For Computer Vision Competitions **
\nChris Deotte's awesome Kernel for using Triple Stratified K fold can be found here , Note: A Very Comprehensive Kernel You Must have patience while going through it
Some One more Comfortable with Pytorch may find this kernel useful
Chris Deotte's notebook talking about how to compete using GPU for Computer Vision Competitions effectively can be found here .
Abhishek Thakur's notebook for how to compete using Pytorch can be found here
PS: Will Add More resources here if I come across them ! 😃
", "messages": [ { "id": "1115637", "postDate": "12/16/2020 12:34:55", "content": "I thought of compiling an awesome list of Kernels and resources for this type of competitions thought it would be useful for this competition. I will be adding and updating this writeup throughout the competition if I came across more such competitions .
\nRecent Computer Vision Competitions in Medical Domain
\nGetting Started With TPUs
\nIf you don't know about it TPUs allows to train models across multiple accelerators which allows faster training of Models .
Follow this Youtube Tutorial to get started.
An Awesome Video Session by Grandmasters Chris Deotte and Abhishek Thakur , whether you are using Tensorflow Keras or Pytorch you will find it highly Useful , the video can be found https://www.youtube.com/watch?v=DEuvGh4ZwaY&list=PLqFaTIg4myu-1c3ygYzakW8-hNzQG59-5&index=6
A Very Nice Notebook for getting started with TPU including training can be found here
Chris Deotte's awesome Notebook on Augmentation can be found here
I also researched and posted some of Ninja Techniques for TPU usage which can be found here , may be you might find some of them useful .
**Some Awesome Kernels For Computer Vision Competitions **
\nChris Deotte's awesome Kernel for using Triple Stratified K fold can be found here , Note: A Very Comprehensive Kernel You Must have patience while going through it
Some One more Comfortable with Pytorch may find this kernel useful
Chris Deotte's notebook talking about how to compete using GPU for Computer Vision Competitions effectively can be found here .
Abhishek Thakur's notebook for how to compete using Pytorch can be found here
PS: Will Add More resources here if I come across them ! 😃
", "rawMarkdown": "I thought of compiling an awesome list of Kernels and resources for this type of competitions thought it would be useful for this competition. I will be adding and updating this writeup throughout the competition if I came across more such competitions .\n\n**Recent Computer Vision Competitions in Medical Domain**\n1. [SIIM ISIC Melanoma Classification.](https://www.kaggle.com/c/siim-isic-melanoma-classification)\n2. [OSIC Pulmonary Fibrosis Progression](https://www.kaggle.com/c/osic-pulmonary-fibrosis-progression)\n3.[RSNA Pulmonary Embolism](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection)\n\n**Getting Started With TPUs**\nIf you don't know about it TPUs allows to train models across multiple accelerators which allows faster training of Models .\n\n1. Follow [this ](https://www.youtube.com/watch?v=KgjaC9VeOi8&list=PLqFaTIg4myu-1c3ygYzakW8-hNzQG59-5)Youtube Tutorial to get started.\n\n2. An Awesome Video Session by Grandmasters Chris Deotte and Abhishek Thakur , whether you are using Tensorflow Keras or Pytorch you will find it highly Useful , the video can be found [https://www.youtube.com/watch?v=DEuvGh4ZwaY&list=PLqFaTIg4myu-1c3ygYzakW8-hNzQG59-5&index=6](url)\n\n3. A Very Nice Notebook for getting started with TPU including training can be found [here ](https://www.kaggle.com/ryanholbrook/create-your-first-submission)\n\n4. Chris Deotte's awesome Notebook on Augmentation can be found [here ](https://www.kaggle.com/cdeotte/rotation-augmentation-gpu-tpu-0-96)\n\n5. I also researched and posted some of Ninja Techniques for TPU usage which can be found [here ](https://www.kaggle.com/c/cassava-leaf-disease-classification/discussion/201977) , may be you might find some of them useful .\n\n**Some Awesome Kernels For Computer Vision Competitions **\n\n1. Chris Deotte's awesome Kernel for using Triple Stratified K fold can be found [here](https://www.kaggle.com/cdeotte/triple-stratified-kfold-with-tfrecords) , **Note: A Very Comprehensive Kernel You Must have patience while going through it**\n\n2. Some One more Comfortable with Pytorch may find [this ](https://www.kaggle.com/nroman/melanoma-pytorch-starter-efficientnet)kernel useful\n\n3. Chris Deotte's notebook talking about how to compete using GPU for Computer Vision Competitions effectively can be found [here ](https://www.kaggle.com/cdeotte/how-to-compete-with-gpus-workshop).\n\n4. Abhishek Thakur's notebook for how to compete using Pytorch can be found [here ](https://www.kaggle.com/abhishek/accelerator-power-hour-pytorch-tpu)\n\n**PS: Will Add More resources here if I come across them ! 😃**", "votes": null }, { "id": "1119434", "postDate": "12/20/2020 04:18:11", "content": "These are great resources. Thanks for sharing :)
", "rawMarkdown": "These are great resources. Thanks for sharing :)", "votes": null }, { "id": "1119454", "postDate": "12/20/2020 04:50:47", "content": "Most Welcome 😄
", "rawMarkdown": "Most Welcome 😄", "votes": null }, { "id": "1132612", "postDate": "12/30/2020 14:37:02", "content": "Thank you for this awesome sharing.
", "rawMarkdown": "Thank you for this awesome sharing.", "votes": null }, { "id": "1228743", "postDate": "03/06/2021 17:53:38", "content": "@sayedathar11 youtube link doesn't open, so it would be really helpful if you could re-share it here
", "rawMarkdown": "sayedathar11 youtube link doesn't open, so it would be really helpful if you could re-share it here", "votes": null }, { "id": "2185622", "postDate": "03/17/2023 07:38:04", "content": "Really helpful @sayedathar11
", "rawMarkdown": "Really helpful @sayedathar11", "votes": null } ], "comments": [ { "id": 1119434, "author_name": "atharvaingle", "author_url": "", "post_date": "12/20/2020 04:18:11", "content": "These are great resources. Thanks for sharing :)
", "votes": null, "replies": [ { "id": 1119454, "author_name": "sayedathar11", "author_url": "", "post_date": "12/20/2020 04:50:47", "content": "Most Welcome 😄
", "votes": null, "replies": [] } ] }, { "id": 1132612, "author_name": "aifahim", "author_url": "", "post_date": "12/30/2020 14:37:02", "content": "Thank you for this awesome sharing.
", "votes": null, "replies": [] }, { "id": 1228743, "author_name": "digvijayyadav", "author_url": "", "post_date": "03/06/2021 17:53:38", "content": "@sayedathar11 youtube link doesn't open, so it would be really helpful if you could re-share it here
", "votes": null, "replies": [] }, { "id": 2185622, "author_name": "yakubsadlil", "author_url": "", "post_date": "03/17/2023 07:38:04", "content": "Really helpful @sayedathar11
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "1115637": "I thought of compiling an awesome list of Kernels and resources for this type of competitions thought it would be useful for this competition. I will be adding and updating this writeup throughout the competition if I came across more such competitions .\n\n**Recent Computer Vision Competitions in Medical Domain**\n1. [SIIM ISIC Melanoma Classification.](https://www.kaggle.com/c/siim-isic-melanoma-classification)\n2. [OSIC Pulmonary Fibrosis Progression](https://www.kaggle.com/c/osic-pulmonary-fibrosis-progression)\n3.[RSNA Pulmonary Embolism](https://www.kaggle.com/c/rsna-str-pulmonary-embolism-detection)\n\n**Getting Started With TPUs**\nIf you don't know about it TPUs allows to train models across multiple accelerators which allows faster training of Models .\n\n1. Follow [this ](https://www.youtube.com/watch?v=KgjaC9VeOi8&list=PLqFaTIg4myu-1c3ygYzakW8-hNzQG59-5)Youtube Tutorial to get started.\n\n2. An Awesome Video Session by Grandmasters Chris Deotte and Abhishek Thakur , whether you are using Tensorflow Keras or Pytorch you will find it highly Useful , the video can be found [https://www.youtube.com/watch?v=DEuvGh4ZwaY&list=PLqFaTIg4myu-1c3ygYzakW8-hNzQG59-5&index=6](url)\n\n3. A Very Nice Notebook for getting started with TPU including training can be found [here ](https://www.kaggle.com/ryanholbrook/create-your-first-submission)\n\n4. Chris Deotte's awesome Notebook on Augmentation can be found [here ](https://www.kaggle.com/cdeotte/rotation-augmentation-gpu-tpu-0-96)\n\n5. I also researched and posted some of Ninja Techniques for TPU usage which can be found [here ](https://www.kaggle.com/c/cassava-leaf-disease-classification/discussion/201977) , may be you might find some of them useful .\n\n**Some Awesome Kernels For Computer Vision Competitions **\n\n1. Chris Deotte's awesome Kernel for using Triple Stratified K fold can be found [here](https://www.kaggle.com/cdeotte/triple-stratified-kfold-with-tfrecords) , **Note: A Very Comprehensive Kernel You Must have patience while going through it**\n\n2. Some One more Comfortable with Pytorch may find [this ](https://www.kaggle.com/nroman/melanoma-pytorch-starter-efficientnet)kernel useful\n\n3. Chris Deotte's notebook talking about how to compete using GPU for Computer Vision Competitions effectively can be found [here ](https://www.kaggle.com/cdeotte/how-to-compete-with-gpus-workshop).\n\n4. Abhishek Thakur's notebook for how to compete using Pytorch can be found [here ](https://www.kaggle.com/abhishek/accelerator-power-hour-pytorch-tpu)\n\n**PS: Will Add More resources here if I come across them ! 😃**", "1119434": "These are great resources. Thanks for sharing :)", "1119454": "Most Welcome 😄", "1132612": "Thank you for this awesome sharing.", "1228743": "sayedathar11 youtube link doesn't open, so it would be really helpful if you could re-share it here", "2185622": "Really helpful @sayedathar11" }, "source": "meta" }