{ "id": 544739, "title": "Starting materials and references", "url": "/competitions/czii-cryo-et-object-identification/discussion/544739", "author_name": "", "post_date": "2024-11-06T20:17:48.884867600Z", "votes": 39, "comment_count": 12, "views": 0, "content": "

Hello all,

\n

Wishing you the best for the competition! Hope the below artefacts are of use to you while onboarding onto the data and the challenge-

\n

Similar Kaggle competitions

\n

CAFA 5 Protein Function Prediction

\n

Highly popular kernels

\n
    \n
  1. https://www.kaggle.com/code/leonidkulyk/eda-cafa5-pfp-interactive-dags-plotly
    2. \n
  2. https://www.kaggle.com/code/henriupton/proteinet-pytorch-ems2-t5-protbert-embeddings
    3. \n
  3. https://www.kaggle.com/code/alexandervc/baseline-multilabel-to-multitarget-binary
    4. \n
  4. https://www.kaggle.com/code/thedrcat/cafa-5-protein-function-prediction-eda
    5. \n
  5. https://www.kaggle.com/code/siddhvr/cafa5-using-protbert-embeds
    6. \n
  6. https://www.kaggle.com/code/antoninadolgorukova/gene-ontology-explorer
    7. \n
  7. https://www.kaggle.com/code/sergeifironov/t5embeds-calculation-only-few-samples
    8. \n
  8. https://www.kaggle.com/code/alexandervc/pytorch-keras-etc-3-blend-cafa-metric-etc
    9. \n
\n

High scoring approaches and discussions

\n
    \n
  1. https://www.kaggle.com/competitions/cafa-5-protein-function-prediction/discussion/466917
    2. \n
  2. https://www.kaggle.com/competitions/cafa-5-protein-function-prediction/discussion/434064
    3. \n
  3. https://www.kaggle.com/competitions/cafa-5-protein-function-prediction/discussion/464437
    4. \n
  4. https://www.kaggle.com/competitions/cafa-5-protein-function-prediction/discussion/433732
    5. \n
  5. https://www.kaggle.com/competitions/cafa-5-protein-function-prediction/discussion/463009
    6. \n
\n

NeurIPS 2024 - Predict New Medicines with BELKA

\n

Highly popular kernels

\n
    \n
  1. https://www.kaggle.com/code/ahmedelfazouan/belka-1dcnn-starter-with-all-data
    2. \n
  2. https://www.kaggle.com/code/shlomoron/belka-shrinking-the-dataset
    3. \n
  3. https://www.kaggle.com/code/sdlee94/belka-molecule-representations-for-ml-tutorial
    4. \n
  4. https://www.kaggle.com/code/hengck23/lb0-602-graph-nn-example
    5. \n
  5. https://www.kaggle.com/code/chemdatafarmer/scaffold-exploration
    6. \n
  6. https://www.kaggle.com/code/junkoda/unknowns-in-public-test-set
    7. \n
  7. https://www.kaggle.com/code/horikitasaku/0-589-tokenize-in-terms-of-chemical-principles
    8. \n
  8. https://www.kaggle.com/code/alexandervc/chembert2a-smiles-embeddings-for-beginners
    9. \n
\n

High scoring approaches and discussions

\n
    \n
  1. https://www.kaggle.com/competitions/leash-BELKA/discussion/519020
    2. \n
  2. https://www.kaggle.com/competitions/leash-BELKA/discussion/521894
    3. \n
  3. https://www.kaggle.com/competitions/leash-BELKA/discussion/519815
    4. \n
  4. https://www.kaggle.com/competitions/leash-BELKA/discussion/518993
    5. \n
  5. https://www.kaggle.com/competitions/leash-BELKA/discussion/519191
    6. \n
\n

Open Problems - Multimodal Single-Cell Integration

\n

Highly popular kernels

\n
    \n
  1. https://www.kaggle.com/code/ambrosm/msci-eda-which-makes-sense
    2. \n
  2. https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart
    3. \n
  3. https://www.kaggle.com/code/pourchot/all-in-one-citeseq-multiome-with-keras
    4. \n
  4. https://www.kaggle.com/code/vslaykovsky/lb-0-811-normalized-ensembles-for-pearson-s-r
    5. \n
  5. https://www.kaggle.com/code/fabiencrom/msci-multiome-quickstart-w-sparse-matrices
    6. \n
  6. https://www.kaggle.com/code/ambrosm/msci-multiome-quickstart
    7. \n
  7. https://www.kaggle.com/code/xiafire/lb-t15-msci-multiome-catboostregressor
    8. \n
\n

High scoring approaches and discussions

\n
    \n
  1. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366961
    2. \n
  2. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366453
    3. \n
  3. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366428
    4. \n
  4. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366460
    5. \n
  5. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366409
    6. \n
  6. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366417
    7. \n
  7. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366471
    8. \n
\n

Human Protein Atlas - Single Cell Classification

\n

Highly popular kernels

\n
    \n
  1. https://www.kaggle.com/code/thedrcat/hpa-single-cell-classification-eda
    2. \n
  2. https://www.kaggle.com/code/its7171/mmdetection-for-segmentation-training
    3. \n
  3. https://www.kaggle.com/code/lnhtrang/single-cell-patterns
    4. \n
  4. https://www.kaggle.com/code/frlemarchand/generate-masks-from-weak-image-level-labels
    5. \n
  5. https://www.kaggle.com/code/its7171/mmdetection-for-segmentation-inference
    6. \n
  6. https://www.kaggle.com/code/lnhtrang/hpa-public-data-download-and-hpacellseg
    7. \n
  7. https://www.kaggle.com/code/kool777/human-protein-atlas-cell-segmentation-eda
    8. \n
  8. https://www.kaggle.com/code/ligtfeather/bottleneck-transformers-for-visual-recognition
    9. \n
  9. https://www.kaggle.com/code/samusram/hpa-rgb-model-rgby-cell-level-classification
    10. \n
\n

High scoring approaches and discussions

\n
    \n
  1. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/239001
    2. \n
  2. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/238645
    3. \n
  3. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/238862
    4. \n
  4. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/239071
    5. \n
  5. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/238487
    6. \n
  6. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/238507
    7. \n
  7. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/238361
    8. \n
\n

Human Protein Atlas Image Classification

\n

Highly popular kernels

\n
    \n
  1. https://www.kaggle.com/code/allunia/protein-atlas-exploration-and-baseline
    2. \n
  2. https://www.kaggle.com/code/iafoss/pretrained-resnet34-with-rgby-0-460-public-lb
    3. \n
  3. https://www.kaggle.com/code/rejpalcz/best-loss-function-for-f1-score-metric
    4. \n
  4. https://www.kaggle.com/code/allunia/uncover-target-correlations-with-bernoulli-mixture
    5. \n
  5. https://www.kaggle.com/code/byrachonok/pretrained-inceptionresnetv2-base-classifier
    6. \n
\n

High scoring approaches and discussions

\n
    \n
  1. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/78109
    2. \n
  2. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77320
    3. \n
  3. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77300
    4. \n
  4. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77731
    5. \n
  5. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77269
    6. \n
  6. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77251
    7. \n
  7. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77282
    8. \n
\n

ISIC 2024 - Skin Cancer Detection with 3D-TBP

\n

Highly popular kernels

\n
    \n
  1. https://www.kaggle.com/code/dschettler8845/isic-detect-skin-cancer-let-s-learn-together
    2. \n
  2. https://www.kaggle.com/code/motono0223/isic-pytorch-training-baseline-image-only
    3. \n
  3. https://www.kaggle.com/code/motono0223/isic-tabular-model-image-model-features
    4. \n
  4. https://www.kaggle.com/code/snnclsr/tabular-ensemble-lgbm-catboost
    5. \n
  5. https://www.kaggle.com/code/vyacheslavbolotin/lightgbm-with-new-features
    6. \n
\n

High scoring approaches and discussions

\n
    \n
  1. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/533196
    2. \n
  2. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532704
    3. \n
  3. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532919
    4. \n
  4. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532760
    5. \n
  5. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/533056
    6. \n
  6. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532868
    7. \n
  7. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532687
    8. \n
  8. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532728
    9. \n
\n

SenNet + HOA - Hacking the Human Vasculature in 3D

\n

Highly popular kernels

\n
    \n
  1. https://www.kaggle.com/code/kashiwaba/sennet-hoa-inference-unet-simple-baseline
    2. \n
  2. https://www.kaggle.com/code/aniketkolte04/sennet-hoa-seg-pytorch-attention-gated-unet
    3. \n
  3. https://www.kaggle.com/code/yoyobar/2-5d-cutting-model-baseline-training
    4. \n
  4. https://www.kaggle.com/code/bhavyadhingra00020/clean-code-weighted-ensemble-inference
    5. \n
  5. https://www.kaggle.com/code/kashiwaba/sennet-hoa-train-unet-simple-baseline
    6. \n
  6. https://www.kaggle.com/code/allunia/eda-hacking-the-human-vasculature-in-3d
    7. \n
\n

High scoring approaches and discussions

\n
    \n
  1. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475522
    2. \n
  2. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475657
    3. \n
  3. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475074
    4. \n
  4. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475052
    5. \n
  5. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475288
    6. \n
  6. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475252
    7. \n
  7. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475964
    8. \n
\n

Wishing you all the best and happy learning!

", "messages": [ { "id": "3038317", "postDate": "11/06/2024 20:17:48", "content": "

Hello all,

\n

Wishing you the best for the competition! Hope the below artefacts are of use to you while onboarding onto the data and the challenge-

\n

Similar Kaggle competitions

\n

CAFA 5 Protein Function Prediction

\n

Highly popular kernels

\n
    \n
  1. https://www.kaggle.com/code/leonidkulyk/eda-cafa5-pfp-interactive-dags-plotly
    2. \n
  2. https://www.kaggle.com/code/henriupton/proteinet-pytorch-ems2-t5-protbert-embeddings
    3. \n
  3. https://www.kaggle.com/code/alexandervc/baseline-multilabel-to-multitarget-binary
    4. \n
  4. https://www.kaggle.com/code/thedrcat/cafa-5-protein-function-prediction-eda
    5. \n
  5. https://www.kaggle.com/code/siddhvr/cafa5-using-protbert-embeds
    6. \n
  6. https://www.kaggle.com/code/antoninadolgorukova/gene-ontology-explorer
    7. \n
  7. https://www.kaggle.com/code/sergeifironov/t5embeds-calculation-only-few-samples
    8. \n
  8. https://www.kaggle.com/code/alexandervc/pytorch-keras-etc-3-blend-cafa-metric-etc
    9. \n
\n

High scoring approaches and discussions

\n
    \n
  1. https://www.kaggle.com/competitions/cafa-5-protein-function-prediction/discussion/466917
    2. \n
  2. https://www.kaggle.com/competitions/cafa-5-protein-function-prediction/discussion/434064
    3. \n
  3. https://www.kaggle.com/competitions/cafa-5-protein-function-prediction/discussion/464437
    4. \n
  4. https://www.kaggle.com/competitions/cafa-5-protein-function-prediction/discussion/433732
    5. \n
  5. https://www.kaggle.com/competitions/cafa-5-protein-function-prediction/discussion/463009
    6. \n
\n

NeurIPS 2024 - Predict New Medicines with BELKA

\n

Highly popular kernels

\n
    \n
  1. https://www.kaggle.com/code/ahmedelfazouan/belka-1dcnn-starter-with-all-data
    2. \n
  2. https://www.kaggle.com/code/shlomoron/belka-shrinking-the-dataset
    3. \n
  3. https://www.kaggle.com/code/sdlee94/belka-molecule-representations-for-ml-tutorial
    4. \n
  4. https://www.kaggle.com/code/hengck23/lb0-602-graph-nn-example
    5. \n
  5. https://www.kaggle.com/code/chemdatafarmer/scaffold-exploration
    6. \n
  6. https://www.kaggle.com/code/junkoda/unknowns-in-public-test-set
    7. \n
  7. https://www.kaggle.com/code/horikitasaku/0-589-tokenize-in-terms-of-chemical-principles
    8. \n
  8. https://www.kaggle.com/code/alexandervc/chembert2a-smiles-embeddings-for-beginners
    9. \n
\n

High scoring approaches and discussions

\n
    \n
  1. https://www.kaggle.com/competitions/leash-BELKA/discussion/519020
    2. \n
  2. https://www.kaggle.com/competitions/leash-BELKA/discussion/521894
    3. \n
  3. https://www.kaggle.com/competitions/leash-BELKA/discussion/519815
    4. \n
  4. https://www.kaggle.com/competitions/leash-BELKA/discussion/518993
    5. \n
  5. https://www.kaggle.com/competitions/leash-BELKA/discussion/519191
    6. \n
\n

Open Problems - Multimodal Single-Cell Integration

\n

Highly popular kernels

\n
    \n
  1. https://www.kaggle.com/code/ambrosm/msci-eda-which-makes-sense
    2. \n
  2. https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart
    3. \n
  3. https://www.kaggle.com/code/pourchot/all-in-one-citeseq-multiome-with-keras
    4. \n
  4. https://www.kaggle.com/code/vslaykovsky/lb-0-811-normalized-ensembles-for-pearson-s-r
    5. \n
  5. https://www.kaggle.com/code/fabiencrom/msci-multiome-quickstart-w-sparse-matrices
    6. \n
  6. https://www.kaggle.com/code/ambrosm/msci-multiome-quickstart
    7. \n
  7. https://www.kaggle.com/code/xiafire/lb-t15-msci-multiome-catboostregressor
    8. \n
\n

High scoring approaches and discussions

\n
    \n
  1. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366961
    2. \n
  2. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366453
    3. \n
  3. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366428
    4. \n
  4. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366460
    5. \n
  5. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366409
    6. \n
  6. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366417
    7. \n
  7. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366471
    8. \n
\n

Human Protein Atlas - Single Cell Classification

\n

Highly popular kernels

\n
    \n
  1. https://www.kaggle.com/code/thedrcat/hpa-single-cell-classification-eda
    2. \n
  2. https://www.kaggle.com/code/its7171/mmdetection-for-segmentation-training
    3. \n
  3. https://www.kaggle.com/code/lnhtrang/single-cell-patterns
    4. \n
  4. https://www.kaggle.com/code/frlemarchand/generate-masks-from-weak-image-level-labels
    5. \n
  5. https://www.kaggle.com/code/its7171/mmdetection-for-segmentation-inference
    6. \n
  6. https://www.kaggle.com/code/lnhtrang/hpa-public-data-download-and-hpacellseg
    7. \n
  7. https://www.kaggle.com/code/kool777/human-protein-atlas-cell-segmentation-eda
    8. \n
  8. https://www.kaggle.com/code/ligtfeather/bottleneck-transformers-for-visual-recognition
    9. \n
  9. https://www.kaggle.com/code/samusram/hpa-rgb-model-rgby-cell-level-classification
    10. \n
\n

High scoring approaches and discussions

\n
    \n
  1. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/239001
    2. \n
  2. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/238645
    3. \n
  3. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/238862
    4. \n
  4. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/239071
    5. \n
  5. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/238487
    6. \n
  6. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/238507
    7. \n
  7. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/238361
    8. \n
\n

Human Protein Atlas Image Classification

\n

Highly popular kernels

\n
    \n
  1. https://www.kaggle.com/code/allunia/protein-atlas-exploration-and-baseline
    2. \n
  2. https://www.kaggle.com/code/iafoss/pretrained-resnet34-with-rgby-0-460-public-lb
    3. \n
  3. https://www.kaggle.com/code/rejpalcz/best-loss-function-for-f1-score-metric
    4. \n
  4. https://www.kaggle.com/code/allunia/uncover-target-correlations-with-bernoulli-mixture
    5. \n
  5. https://www.kaggle.com/code/byrachonok/pretrained-inceptionresnetv2-base-classifier
    6. \n
\n

High scoring approaches and discussions

\n
    \n
  1. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/78109
    2. \n
  2. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77320
    3. \n
  3. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77300
    4. \n
  4. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77731
    5. \n
  5. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77269
    6. \n
  6. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77251
    7. \n
  7. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77282
    8. \n
\n

ISIC 2024 - Skin Cancer Detection with 3D-TBP

\n

Highly popular kernels

\n
    \n
  1. https://www.kaggle.com/code/dschettler8845/isic-detect-skin-cancer-let-s-learn-together
    2. \n
  2. https://www.kaggle.com/code/motono0223/isic-pytorch-training-baseline-image-only
    3. \n
  3. https://www.kaggle.com/code/motono0223/isic-tabular-model-image-model-features
    4. \n
  4. https://www.kaggle.com/code/snnclsr/tabular-ensemble-lgbm-catboost
    5. \n
  5. https://www.kaggle.com/code/vyacheslavbolotin/lightgbm-with-new-features
    6. \n
\n

High scoring approaches and discussions

\n
    \n
  1. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/533196
    2. \n
  2. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532704
    3. \n
  3. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532919
    4. \n
  4. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532760
    5. \n
  5. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/533056
    6. \n
  6. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532868
    7. \n
  7. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532687
    8. \n
  8. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532728
    9. \n
\n

SenNet + HOA - Hacking the Human Vasculature in 3D

\n

Highly popular kernels

\n
    \n
  1. https://www.kaggle.com/code/kashiwaba/sennet-hoa-inference-unet-simple-baseline
    2. \n
  2. https://www.kaggle.com/code/aniketkolte04/sennet-hoa-seg-pytorch-attention-gated-unet
    3. \n
  3. https://www.kaggle.com/code/yoyobar/2-5d-cutting-model-baseline-training
    4. \n
  4. https://www.kaggle.com/code/bhavyadhingra00020/clean-code-weighted-ensemble-inference
    5. \n
  5. https://www.kaggle.com/code/kashiwaba/sennet-hoa-train-unet-simple-baseline
    6. \n
  6. https://www.kaggle.com/code/allunia/eda-hacking-the-human-vasculature-in-3d
    7. \n
\n

High scoring approaches and discussions

\n
    \n
  1. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475522
    2. \n
  2. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475657
    3. \n
  3. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475074
    4. \n
  4. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475052
    5. \n
  5. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475288
    6. \n
  6. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475252
    7. \n
  7. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475964
    8. \n
\n

Wishing you all the best and happy learning!

", "rawMarkdown": "Hello all,\n\nWishing you the best for the competition! Hope the below artefacts are of use to you while onboarding onto the data and the challenge- \n\n# Similar Kaggle competitions\n## [CAFA 5 Protein Function Prediction](https://www.kaggle.com/competitions/cafa-5-protein-function-prediction/overview)\n### Highly popular kernels\n1. https://www.kaggle.com/code/leonidkulyk/eda-cafa5-pfp-interactive-dags-plotly\n2. https://www.kaggle.com/code/henriupton/proteinet-pytorch-ems2-t5-protbert-embeddings\n3. https://www.kaggle.com/code/alexandervc/baseline-multilabel-to-multitarget-binary\n4. https://www.kaggle.com/code/thedrcat/cafa-5-protein-function-prediction-eda\n5. https://www.kaggle.com/code/siddhvr/cafa5-using-protbert-embeds\n6. https://www.kaggle.com/code/antoninadolgorukova/gene-ontology-explorer\n7. https://www.kaggle.com/code/sergeifironov/t5embeds-calculation-only-few-samples\n8. https://www.kaggle.com/code/alexandervc/pytorch-keras-etc-3-blend-cafa-metric-etc\n\n### High scoring approaches and discussions\n1. https://www.kaggle.com/competitions/cafa-5-protein-function-prediction/discussion/466917\n2. https://www.kaggle.com/competitions/cafa-5-protein-function-prediction/discussion/434064\n3. https://www.kaggle.com/competitions/cafa-5-protein-function-prediction/discussion/464437\n4. https://www.kaggle.com/competitions/cafa-5-protein-function-prediction/discussion/433732\n5. https://www.kaggle.com/competitions/cafa-5-protein-function-prediction/discussion/463009\n\n## [NeurIPS 2024 - Predict New Medicines with BELKA](https://www.kaggle.com/competitions/leash-BELKA)\n### Highly popular kernels\n1. https://www.kaggle.com/code/ahmedelfazouan/belka-1dcnn-starter-with-all-data\n2. https://www.kaggle.com/code/shlomoron/belka-shrinking-the-dataset\n3. https://www.kaggle.com/code/sdlee94/belka-molecule-representations-for-ml-tutorial\n4. https://www.kaggle.com/code/hengck23/lb0-602-graph-nn-example\n5. https://www.kaggle.com/code/chemdatafarmer/scaffold-exploration\n6. https://www.kaggle.com/code/junkoda/unknowns-in-public-test-set\n7. https://www.kaggle.com/code/horikitasaku/0-589-tokenize-in-terms-of-chemical-principles\n8. https://www.kaggle.com/code/alexandervc/chembert2a-smiles-embeddings-for-beginners\n\n### High scoring approaches and discussions\n1. https://www.kaggle.com/competitions/leash-BELKA/discussion/519020\n2. https://www.kaggle.com/competitions/leash-BELKA/discussion/521894\n3. https://www.kaggle.com/competitions/leash-BELKA/discussion/519815\n4. https://www.kaggle.com/competitions/leash-BELKA/discussion/518993\n5. https://www.kaggle.com/competitions/leash-BELKA/discussion/519191\n\n## [Open Problems - Multimodal Single-Cell Integration](https://www.kaggle.com/competitions/open-problems-multimodal)\n### Highly popular kernels\n1. https://www.kaggle.com/code/ambrosm/msci-eda-which-makes-sense\n2. https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart\n3. https://www.kaggle.com/code/pourchot/all-in-one-citeseq-multiome-with-keras\n4. https://www.kaggle.com/code/vslaykovsky/lb-0-811-normalized-ensembles-for-pearson-s-r\n5. https://www.kaggle.com/code/fabiencrom/msci-multiome-quickstart-w-sparse-matrices\n6. https://www.kaggle.com/code/ambrosm/msci-multiome-quickstart\n7. https://www.kaggle.com/code/xiafire/lb-t15-msci-multiome-catboostregressor\n\n### High scoring approaches and discussions\n1. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366961\n2. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366453\n3. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366428\n4. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366460\n5. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366409\n6. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366417\n7. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366471\n\n## [Human Protein Atlas - Single Cell Classification](https://www.kaggle.com/competitions/hpa-single-cell-image-classification)\n### Highly popular kernels\n1. https://www.kaggle.com/code/thedrcat/hpa-single-cell-classification-eda\n2. https://www.kaggle.com/code/its7171/mmdetection-for-segmentation-training\n3. https://www.kaggle.com/code/lnhtrang/single-cell-patterns\n4. https://www.kaggle.com/code/frlemarchand/generate-masks-from-weak-image-level-labels\n5. https://www.kaggle.com/code/its7171/mmdetection-for-segmentation-inference\n6. https://www.kaggle.com/code/lnhtrang/hpa-public-data-download-and-hpacellseg\n7. https://www.kaggle.com/code/kool777/human-protein-atlas-cell-segmentation-eda\n8. https://www.kaggle.com/code/ligtfeather/bottleneck-transformers-for-visual-recognition\n9. https://www.kaggle.com/code/samusram/hpa-rgb-model-rgby-cell-level-classification\n\n### High scoring approaches and discussions\n1. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/239001\n2. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/238645\n3. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/238862\n4. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/239071\n5. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/238487\n6. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/238507\n7. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/238361\n\n## [Human Protein Atlas Image Classification](https://www.kaggle.com/competitions/human-protein-atlas-image-classification)\n### Highly popular kernels\n1. https://www.kaggle.com/code/allunia/protein-atlas-exploration-and-baseline\n2. https://www.kaggle.com/code/iafoss/pretrained-resnet34-with-rgby-0-460-public-lb\n3. https://www.kaggle.com/code/rejpalcz/best-loss-function-for-f1-score-metric\n4. https://www.kaggle.com/code/allunia/uncover-target-correlations-with-bernoulli-mixture\n5. https://www.kaggle.com/code/byrachonok/pretrained-inceptionresnetv2-base-classifier\n\n### High scoring approaches and discussions\n1. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/78109\n2. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77320\n3. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77300\n4. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77731\n5. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77269\n6. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77251\n7. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77282\n\n## [ISIC 2024 - Skin Cancer Detection with 3D-TBP](https://www.kaggle.com/competitions/isic-2024-challenge)\n### Highly popular kernels\n1. https://www.kaggle.com/code/dschettler8845/isic-detect-skin-cancer-let-s-learn-together\n2. https://www.kaggle.com/code/motono0223/isic-pytorch-training-baseline-image-only\n3. https://www.kaggle.com/code/motono0223/isic-tabular-model-image-model-features\n4. https://www.kaggle.com/code/snnclsr/tabular-ensemble-lgbm-catboost\n5. https://www.kaggle.com/code/vyacheslavbolotin/lightgbm-with-new-features\n\n### High scoring approaches and discussions\n1. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/533196\n2. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532704\n3. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532919\n4. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532760\n5. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/533056\n6. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532868\n7. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532687\n8. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532728\n\n## [SenNet + HOA - Hacking the Human Vasculature in 3D](https://www.kaggle.com/competitions/blood-vessel-segmentation)\n### Highly popular kernels\n1. https://www.kaggle.com/code/kashiwaba/sennet-hoa-inference-unet-simple-baseline\n2. https://www.kaggle.com/code/aniketkolte04/sennet-hoa-seg-pytorch-attention-gated-unet\n3. https://www.kaggle.com/code/yoyobar/2-5d-cutting-model-baseline-training\n4. https://www.kaggle.com/code/bhavyadhingra00020/clean-code-weighted-ensemble-inference\n5. https://www.kaggle.com/code/kashiwaba/sennet-hoa-train-unet-simple-baseline\n6. https://www.kaggle.com/code/allunia/eda-hacking-the-human-vasculature-in-3d\n\n### High scoring approaches and discussions\n1. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475522\n2. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475657\n3. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475074\n4. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475052\n5. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475288\n6. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475252\n7. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475964\n\nWishing you all the best and happy learning!", "votes": null }, { "id": "3039250", "postDate": "11/07/2024 20:46:34", "content": "

Thanks @ravi20076 for useful sum up.

", "rawMarkdown": "Thanks @ravi20076 for useful sum up.", "votes": null }, { "id": "3039515", "postDate": "11/08/2024 06:11:47", "content": "

Thanks @ravi20076 for these useful links, it will help us refining our methods for this competition.

", "rawMarkdown": "Thanks @ravi20076 for these useful links, it will help us refining our methods for this competition.", "votes": null }, { "id": "3039526", "postDate": "11/08/2024 06:24:33", "content": "

Thank you for Sharing!

", "rawMarkdown": "Thank you for Sharing!", "votes": null }, { "id": "3046544", "postDate": "11/15/2024 15:11:36", "content": "

I don't see many 3D computer vision competetions mentioned.

", "rawMarkdown": "I don't see many 3D computer vision competetions mentioned.", "votes": null }, { "id": "3046683", "postDate": "11/15/2024 18:21:54", "content": "

thanks . it was very helpful

", "rawMarkdown": "thanks . it was very helpful", "votes": null }, { "id": "3046783", "postDate": "11/15/2024 21:32:46", "content": "

Thanks! 😃

", "rawMarkdown": "Thanks! 😃", "votes": null }, { "id": "3072373", "postDate": "12/15/2024 05:02:50", "content": "

Thank you so much for sharing!

", "rawMarkdown": "Thank you so much for sharing!", "votes": null }, { "id": "3077720", "postDate": "12/21/2024 10:30:02", "content": "

Thank you for sharing!

", "rawMarkdown": "Thank you for sharing!", "votes": null }, { "id": "3077924", "postDate": "12/21/2024 14:39:29", "content": "

Thank you for sharing!

", "rawMarkdown": "Thank you for sharing!", "votes": null }, { "id": "3077934", "postDate": "12/21/2024 15:05:51", "content": "

Thankы you for sharing!

", "rawMarkdown": "Thankы you for sharing!", "votes": null }, { "id": "3078339", "postDate": "12/22/2024 07:21:53", "content": "

Your sharing is very helpful to me

", "rawMarkdown": "Your sharing is very helpful to me", "votes": null }, { "id": "3089980", "postDate": "01/06/2025 18:20:28", "content": "

Very helpfull :D Thanks for sharing!

", "rawMarkdown": "Very helpfull :D Thanks for sharing!", "votes": null } ], "comments": [ { "id": 3039250, "author_name": "cdthinh", "author_url": "", "post_date": "11/07/2024 20:46:34", "content": "

Thanks @ravi20076 for useful sum up.

", "votes": null, "replies": [] }, { "id": 3039515, "author_name": "arunimbasak", "author_url": "", "post_date": "11/08/2024 06:11:47", "content": "

Thanks @ravi20076 for these useful links, it will help us refining our methods for this competition.

", "votes": null, "replies": [] }, { "id": 3039526, "author_name": "tanishkpatil", "author_url": "", "post_date": "11/08/2024 06:24:33", "content": "

Thank you for Sharing!

", "votes": null, "replies": [] }, { "id": 3046544, "author_name": "gyulamaloveczky4", "author_url": "", "post_date": "11/15/2024 15:11:36", "content": "

I don't see many 3D computer vision competetions mentioned.

", "votes": null, "replies": [] }, { "id": 3046683, "author_name": "batmanoftn", "author_url": "", "post_date": "11/15/2024 18:21:54", "content": "

thanks . it was very helpful

", "votes": null, "replies": [] }, { "id": 3046783, "author_name": "w4ndrille", "author_url": "", "post_date": "11/15/2024 21:32:46", "content": "

Thanks! 😃

", "votes": null, "replies": [] }, { "id": 3072373, "author_name": "nguyenhathaison", "author_url": "", "post_date": "12/15/2024 05:02:50", "content": "

Thank you so much for sharing!

", "votes": null, "replies": [] }, { "id": 3077720, "author_name": "taiki2", "author_url": "", "post_date": "12/21/2024 10:30:02", "content": "

Thank you for sharing!

", "votes": null, "replies": [] }, { "id": 3077924, "author_name": "yolov5ssd", "author_url": "", "post_date": "12/21/2024 14:39:29", "content": "

Thank you for sharing!

", "votes": null, "replies": [] }, { "id": 3077934, "author_name": "mrsimple07", "author_url": "", "post_date": "12/21/2024 15:05:51", "content": "

Thankы you for sharing!

", "votes": null, "replies": [] }, { "id": 3078339, "author_name": "yolov5ssd", "author_url": "", "post_date": "12/22/2024 07:21:53", "content": "

Your sharing is very helpful to me

", "votes": null, "replies": [] }, { "id": 3089980, "author_name": "reddreke", "author_url": "", "post_date": "01/06/2025 18:20:28", "content": "

Very helpfull :D Thanks for sharing!

", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "3038317": "Hello all,\n\nWishing you the best for the competition! Hope the below artefacts are of use to you while onboarding onto the data and the challenge- \n\n# Similar Kaggle competitions\n## [CAFA 5 Protein Function Prediction](https://www.kaggle.com/competitions/cafa-5-protein-function-prediction/overview)\n### Highly popular kernels\n1. https://www.kaggle.com/code/leonidkulyk/eda-cafa5-pfp-interactive-dags-plotly\n2. https://www.kaggle.com/code/henriupton/proteinet-pytorch-ems2-t5-protbert-embeddings\n3. https://www.kaggle.com/code/alexandervc/baseline-multilabel-to-multitarget-binary\n4. https://www.kaggle.com/code/thedrcat/cafa-5-protein-function-prediction-eda\n5. https://www.kaggle.com/code/siddhvr/cafa5-using-protbert-embeds\n6. https://www.kaggle.com/code/antoninadolgorukova/gene-ontology-explorer\n7. https://www.kaggle.com/code/sergeifironov/t5embeds-calculation-only-few-samples\n8. https://www.kaggle.com/code/alexandervc/pytorch-keras-etc-3-blend-cafa-metric-etc\n\n### High scoring approaches and discussions\n1. https://www.kaggle.com/competitions/cafa-5-protein-function-prediction/discussion/466917\n2. https://www.kaggle.com/competitions/cafa-5-protein-function-prediction/discussion/434064\n3. https://www.kaggle.com/competitions/cafa-5-protein-function-prediction/discussion/464437\n4. https://www.kaggle.com/competitions/cafa-5-protein-function-prediction/discussion/433732\n5. https://www.kaggle.com/competitions/cafa-5-protein-function-prediction/discussion/463009\n\n## [NeurIPS 2024 - Predict New Medicines with BELKA](https://www.kaggle.com/competitions/leash-BELKA)\n### Highly popular kernels\n1. https://www.kaggle.com/code/ahmedelfazouan/belka-1dcnn-starter-with-all-data\n2. https://www.kaggle.com/code/shlomoron/belka-shrinking-the-dataset\n3. https://www.kaggle.com/code/sdlee94/belka-molecule-representations-for-ml-tutorial\n4. https://www.kaggle.com/code/hengck23/lb0-602-graph-nn-example\n5. https://www.kaggle.com/code/chemdatafarmer/scaffold-exploration\n6. https://www.kaggle.com/code/junkoda/unknowns-in-public-test-set\n7. https://www.kaggle.com/code/horikitasaku/0-589-tokenize-in-terms-of-chemical-principles\n8. https://www.kaggle.com/code/alexandervc/chembert2a-smiles-embeddings-for-beginners\n\n### High scoring approaches and discussions\n1. https://www.kaggle.com/competitions/leash-BELKA/discussion/519020\n2. https://www.kaggle.com/competitions/leash-BELKA/discussion/521894\n3. https://www.kaggle.com/competitions/leash-BELKA/discussion/519815\n4. https://www.kaggle.com/competitions/leash-BELKA/discussion/518993\n5. https://www.kaggle.com/competitions/leash-BELKA/discussion/519191\n\n## [Open Problems - Multimodal Single-Cell Integration](https://www.kaggle.com/competitions/open-problems-multimodal)\n### Highly popular kernels\n1. https://www.kaggle.com/code/ambrosm/msci-eda-which-makes-sense\n2. https://www.kaggle.com/code/ambrosm/msci-citeseq-quickstart\n3. https://www.kaggle.com/code/pourchot/all-in-one-citeseq-multiome-with-keras\n4. https://www.kaggle.com/code/vslaykovsky/lb-0-811-normalized-ensembles-for-pearson-s-r\n5. https://www.kaggle.com/code/fabiencrom/msci-multiome-quickstart-w-sparse-matrices\n6. https://www.kaggle.com/code/ambrosm/msci-multiome-quickstart\n7. https://www.kaggle.com/code/xiafire/lb-t15-msci-multiome-catboostregressor\n\n### High scoring approaches and discussions\n1. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366961\n2. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366453\n3. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366428\n4. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366460\n5. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366409\n6. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366417\n7. https://www.kaggle.com/competitions/open-problems-multimodal/discussion/366471\n\n## [Human Protein Atlas - Single Cell Classification](https://www.kaggle.com/competitions/hpa-single-cell-image-classification)\n### Highly popular kernels\n1. https://www.kaggle.com/code/thedrcat/hpa-single-cell-classification-eda\n2. https://www.kaggle.com/code/its7171/mmdetection-for-segmentation-training\n3. https://www.kaggle.com/code/lnhtrang/single-cell-patterns\n4. https://www.kaggle.com/code/frlemarchand/generate-masks-from-weak-image-level-labels\n5. https://www.kaggle.com/code/its7171/mmdetection-for-segmentation-inference\n6. https://www.kaggle.com/code/lnhtrang/hpa-public-data-download-and-hpacellseg\n7. https://www.kaggle.com/code/kool777/human-protein-atlas-cell-segmentation-eda\n8. https://www.kaggle.com/code/ligtfeather/bottleneck-transformers-for-visual-recognition\n9. https://www.kaggle.com/code/samusram/hpa-rgb-model-rgby-cell-level-classification\n\n### High scoring approaches and discussions\n1. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/239001\n2. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/238645\n3. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/238862\n4. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/239071\n5. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/238487\n6. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/238507\n7. https://www.kaggle.com/competitions/hpa-single-cell-image-classification/discussion/238361\n\n## [Human Protein Atlas Image Classification](https://www.kaggle.com/competitions/human-protein-atlas-image-classification)\n### Highly popular kernels\n1. https://www.kaggle.com/code/allunia/protein-atlas-exploration-and-baseline\n2. https://www.kaggle.com/code/iafoss/pretrained-resnet34-with-rgby-0-460-public-lb\n3. https://www.kaggle.com/code/rejpalcz/best-loss-function-for-f1-score-metric\n4. https://www.kaggle.com/code/allunia/uncover-target-correlations-with-bernoulli-mixture\n5. https://www.kaggle.com/code/byrachonok/pretrained-inceptionresnetv2-base-classifier\n\n### High scoring approaches and discussions\n1. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/78109\n2. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77320\n3. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77300\n4. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77731\n5. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77269\n6. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77251\n7. https://www.kaggle.com/competitions/human-protein-atlas-image-classification/discussion/77282\n\n## [ISIC 2024 - Skin Cancer Detection with 3D-TBP](https://www.kaggle.com/competitions/isic-2024-challenge)\n### Highly popular kernels\n1. https://www.kaggle.com/code/dschettler8845/isic-detect-skin-cancer-let-s-learn-together\n2. https://www.kaggle.com/code/motono0223/isic-pytorch-training-baseline-image-only\n3. https://www.kaggle.com/code/motono0223/isic-tabular-model-image-model-features\n4. https://www.kaggle.com/code/snnclsr/tabular-ensemble-lgbm-catboost\n5. https://www.kaggle.com/code/vyacheslavbolotin/lightgbm-with-new-features\n\n### High scoring approaches and discussions\n1. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/533196\n2. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532704\n3. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532919\n4. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532760\n5. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/533056\n6. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532868\n7. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532687\n8. https://www.kaggle.com/competitions/isic-2024-challenge/discussion/532728\n\n## [SenNet + HOA - Hacking the Human Vasculature in 3D](https://www.kaggle.com/competitions/blood-vessel-segmentation)\n### Highly popular kernels\n1. https://www.kaggle.com/code/kashiwaba/sennet-hoa-inference-unet-simple-baseline\n2. https://www.kaggle.com/code/aniketkolte04/sennet-hoa-seg-pytorch-attention-gated-unet\n3. https://www.kaggle.com/code/yoyobar/2-5d-cutting-model-baseline-training\n4. https://www.kaggle.com/code/bhavyadhingra00020/clean-code-weighted-ensemble-inference\n5. https://www.kaggle.com/code/kashiwaba/sennet-hoa-train-unet-simple-baseline\n6. https://www.kaggle.com/code/allunia/eda-hacking-the-human-vasculature-in-3d\n\n### High scoring approaches and discussions\n1. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475522\n2. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475657\n3. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475074\n4. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475052\n5. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475288\n6. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475252\n7. https://www.kaggle.com/competitions/blood-vessel-segmentation/discussion/475964\n\nWishing you all the best and happy learning!", "3039250": "Thanks @ravi20076 for useful sum up.", "3039515": "Thanks @ravi20076 for these useful links, it will help us refining our methods for this competition.", "3039526": "Thank you for Sharing!", "3046544": "I don't see many 3D computer vision competetions mentioned.", "3046683": "thanks . it was very helpful", "3046783": "Thanks! 😃", "3072373": "Thank you so much for sharing!", "3077720": "Thank you for sharing!", "3077924": "Thank you for sharing!", "3077934": "Thankы you for sharing!", "3078339": "Your sharing is very helpful to me", "3089980": "Very helpfull :D Thanks for sharing!" }, "source": "meta" }