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competitions.yaml
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competitions.yaml
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- competitionDescription: Can you classify cloud structures from satellites?
competitionId: 13333
competitionName: null
competitionTitle: Understanding Clouds from Satellite Images
competitionUrl: /c/understanding_cloud_organization
coverImageUrl: null
deadline: '2019-11-18T23:59:00Z'
evaluationMetric: Dice coefficient
hostSegment: Research
organizationAvatarUrl: null
organizationName: Max Planck Institute for Meteorology
organizationUrl:
rewardQuantity: 10000.0
rewardTypeName: USD
solutions:
- label: 1st place solution
url: https://www.kaggle.com/c/understanding_cloud_organization/discussion/118080
tags: resnet34, efficientnet-b1, resnext10132x8dwsl, resnext10132x16dwsl
- label: 3rd place solution
url: https://www.kaggle.com/c/understanding_cloud_organization/discussion/117949
tags: resnet34-FPN, soft DICE loss, BCE loss
- label: 4th place solution
url: https://www.kaggle.com/c/understanding_cloud_organization/discussion/118016
tags: Resnet34, SE-ResNext-50, EfficientNet-B4
- label: 5th place solution
url: https://www.kaggle.com/c/understanding_cloud_organization/discussion/117987
tags: efficientnet-b1, resnet50, efficientnet-b3, fpn, unet
- label: 6th place solution
url: https://www.kaggle.com/c/understanding_cloud_organization/discussion/118017
tags: efficientnet-b4, unet, efficientnet-b4, fpn
- label: 7th place solution
url: https://www.kaggle.com/c/understanding_cloud_organization/discussion/117974
tags: efficientnet e5/7-FPN，se101-FPN, se101-linket, Dice loss
repositories:
- label: 2nd place code
url: https://github.com/darraghdog/rsna
- label: 3rd place code
url: https://github.com/okotaku/kaggle_rsna2019_3rd_solution
- label: 5th place code
url: https://github.com/ngxbac/Kaggle-RSNA
thumbnailImageUrl: https://storage.googleapis.com/kaggle-competitions/kaggle/13333/logos/thumb76_76.png?t=2019-06-07-19-19-14
types:
- image data
- Atmospheric sciences
- competitionDescription: Identify acute intracranial hemorrhage and its subtypes
competitionId: 13451
competitionName: null
competitionTitle: RSNA Intracranial Hemorrhage Detection
competitionUrl: /c/rsna-intracranial-hemorrhage-detection
coverImageUrl: null
deadline: '2019-11-13T23:59:00Z'
evaluationMetric: weighted multi-label logarithmic loss
hostSegment: Featured
organizationAvatarUrl: null
organizationName: Radiological Society of North America
organizationUrl:
rewardQuantity: 25000.0
rewardTypeName: USD
solutions:
- label: 2nd place solution
url: https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/discussion/117228
tags: Resnext101, LSTM, Bi-BLSTM
- label: 3rd place solution
url: https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/discussion/117223
tags: SeResNeXt50, SeResNeXt101
- label: 5th place solution
url: https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/discussion/117232
tags: Resnet, Densenet
- label: 6th place solution
url: https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/discussion/117301
tags: xception, inception, EfficientnetB0, Resnet50, ResInc
- label: 7th place solution
url: https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/discussion/117293
tags: efficientnetb5, efficientnetb6, inceptionresnetv2, inception_v4, senet154, seresnext50, seresnext101
- label: 9th place solution
url: https://www.kaggle.com/c/rsna-intracranial-hemorrhage-detection/discussion/117211
tags: resnet
repositories:
- label: 2nd place code
url: https://github.com/darraghdog/rsna
- label: 3rd place code
url: https://github.com/okotaku/kaggle_rsna2019_3rd_solution
- label: 5th place code
url: https://github.com/ngxbac/Kaggle-RSNA
thumbnailImageUrl: https://storage.googleapis.com/kaggle-competitions/kaggle/13451/logos/thumb76_76.png?t=2019-08-26-19-58-36
types:
- image data
- competitionDescription: Can you advance the state of the art in 3D object detection?
competitionId: 15768
competitionName: null
competitionTitle: Lyft 3D Object Detection for Autonomous Vehicles
competitionUrl: /c/3d-object-detection-for-autonomous-vehicles
coverImageUrl: null
deadline: '2019-11-12T23:59:00Z'
evaluationMetric: intersection over union (IoU)
hostSegment: Featured
organizationAvatarUrl: null
organizationName: Lyft
organizationUrl:
rewardQuantity: 25000.0
rewardTypeName: USD
solutions:
- label: 4th place solution
url: https://www.kaggle.com/c/3d-object-detection-for-autonomous-vehicles/discussion/117269
tags: VoxelNet, PointPillars, PyTorch
- label: 20th place solution
url: https://www.kaggle.com/c/3d-object-detection-for-autonomous-vehicles/discussion/117560
tags: VoxelNet, PillarFeatureNet
- label: 27th place solution
url: https://www.kaggle.com/c/3d-object-detection-for-autonomous-vehicles/discussion/117809
tags: PointPillars, second.pytorch, VoxelNet
repositories:
- label: 20th place solution
url: https://github.com/pyaf/second.pytorch
- label: Second.pytorch original repository
url: https://github.com/traveller59/second.pytorch
thumbnailImageUrl: https://storage.googleapis.com/kaggle-competitions/kaggle/15768/logos/thumb76_76.png?t=2019-08-27-22-43-26
types:
- image data
- Object detection
- competitionDescription: Can you detect and classify defects in steel?
competitionId: 14241
competitionName: null
competitionTitle: Severstal Steel Defect Detection
competitionUrl: /c/severstal-steel-defect-detection
coverImageUrl: null
deadline: '2019-10-17T23:59:00Z'
evaluationMetric: Dice coefficient
hostSegment: Featured
organizationAvatarUrl: null
organizationName: Severstal
organizationUrl:
rewardQuantity: 120000.0
rewardTypeName: USD
solutions:
- label: 1st place solution
url: https://www.kaggle.com/c/severstal-steel-defect-detection/discussion/114254
tags: efficientnet-b1, resnet34, efficientnet-b3, Unet, FPN
- label: 4th place solution
url: https://www.kaggle.com/c/severstal-steel-defect-detection/discussion/114716
tags: resnet34
- label: 7th place solution
url: https://www.kaggle.com/c/severstal-steel-defect-detection/discussion/114215
tags: AdamW, efficientnet-b4, efficientnet-b7, UNet
- label: 8th place solution
url: https://www.kaggle.com/c/severstal-steel-defect-detection/discussion/114696
tags: FPN, Seresnext50, UNet, Seresnext50, Resnet34
- label: 10th place solution
url: https://www.kaggle.com/c/severstal-steel-defect-detection/discussion/114465
tags: Unet, FPN, PSPNet
thumbnailImageUrl: https://storage.googleapis.com/kaggle-competitions/kaggle/14241/logos/thumb76_76.png?t=2019-06-17-15-52-14
types:
- image data
- competitionDescription: Opening the door to a thousand years of Japanese culture
competitionId: 13578
competitionName: null
competitionTitle: Kuzushiji Recognition
competitionUrl: /c/kuzushiji-recognition
coverImageUrl: null
deadline: '2019-10-14T23:59:00Z'
evaluationMetric: F1 score
hostSegment: Playground
organizationAvatarUrl: null
organizationName: ROIS-DS Center for Open Data in the Humanities
organizationUrl:
rewardQuantity: 15000.0
rewardTypeName: USD
solutions:
- label: 1st place solution
url: https://www.kaggle.com/c/kuzushiji-recognition/discussion/112788
tags: Cascade R-CNN, HRNet w32, HRNet w48
- label: 2nd place solution
url: https://www.kaggle.com/c/kuzushiji-recognition/discussion/112712
tags: resnet152, pretrained on ImageNet, resnext101_32x8d_wsl, Faster-RCNN
- label: 3rd place solution
url: https://www.kaggle.com/c/kuzushiji-recognition/discussion/113049
tags: Faster R-CNN, ResNet101, EfficientNet, SE-ResNeXt101, ResNet152, LightGBM
- label: 7th place solution
url: https://www.kaggle.com/c/kuzushiji-recognition/discussion/112899
tags: CenterNet,
- label: 9th place solution
url: https://www.kaggle.com/c/kuzushiji-recognition/discussion/112807
thumbnailImageUrl: https://storage.googleapis.com/kaggle-competitions/kaggle/13578/logos/thumb76_76.png?t=2019-04-24-22-48-08
repositories:
- label: 1st place solution
url: https://github.com/tascj/kaggle-kuzushiji-recognition
- label: 2nd place solution
url: https://github.com/lopuhin/kaggle-kuzushiji-2019
- label: 3rd place solution
url: https://github.com/knjcode/kaggle-kuzushiji-recognition-2019
types:
- history
- image data
- multiclass classification
- competitionDescription: Temporal localization of topics within video
competitionId: 12716
competitionName: null
competitionTitle: The 3rd YouTube-8M Video Understanding Challenge
competitionUrl: /c/youtube8m-2019
coverImageUrl: null
deadline: '2019-10-11T23:59:00Z'
evaluationMetric: Mean Average Precision @ K (MAP@K)
hostSegment: Research
organizationAvatarUrl: null
organizationName: Google Research
organizationUrl:
rewardQuantity: 25000.0
rewardTypeName: USD
solutions:
- label: 1st place solution
url: https://www.kaggle.com/c/youtube8m-2019/discussion/112869
tags: LSTM, NetVLAD/LF
- label: 2nd place solution
url: https://www.kaggle.com/c/youtube8m-2019/discussion/113663
tags: NeXtVLAD, LightNetVLAD, GatedDBOF, SoftDBOF, NetFV, GRU, ResNetLike
- label: 3rd place solution
url: https://www.kaggle.com/c/youtube8m-2019/discussion/112929
tags: MixNeXtVLAD
- label: 6th place solution
url: https://www.kaggle.com/c/youtube8m-2019/discussion/112403
tags: NeXtVLAD
- label: 7th place solution
url: https://www.kaggle.com/c/youtube8m-2019/discussion/112349
tags: NeXtVLAD ,context-gated DBoF, mixture-of-experts
thumbnailImageUrl: https://storage.googleapis.com/kaggle-competitions/kaggle/12716/logos/thumb76_76.png?t=2019-04-29-17-48-06
types:
- video data
- object detection
- competitionDescription: Can you detect fraud from customer transactions?
competitionId: 14242
competitionName: null
competitionTitle: IEEE-CIS Fraud Detection
competitionUrl: /c/ieee-fraud-detection
coverImageUrl: null
deadline: '2019-10-03T23:59:00Z'
evaluationMetric: area under the ROC curve (AUC)
hostSegment: Research
organizationAvatarUrl: null
organizationName: IEEE Computational Intelligence Society
organizationUrl:
rewardQuantity: 25000.0
rewardTypeName: USD
solutions:
- label: 1st place solution - part 1
url: https://www.kaggle.com/c/ieee-fraud-detection/discussion/111284
- label: 1st place solution - part 2
url: https://www.kaggle.com/c/ieee-fraud-detection/discussion/111308
- label: 2nd place solution - cpmp view
url: https://www.kaggle.com/c/ieee-fraud-detection/discussion/111321
- label: 2nd place solution - sggpls view
url: https://www.kaggle.com/c/ieee-fraud-detection/discussion/111554
- label: 5th place solution
url: https://www.kaggle.com/c/ieee-fraud-detection/discussion/111735
- label: 6th place solution
url: https://www.kaggle.com/c/ieee-fraud-detection/discussion/111247
- label: 9th place solution
url: https://www.kaggle.com/c/ieee-fraud-detection/discussion/111234
thumbnailImageUrl: https://storage.googleapis.com/kaggle-competitions/kaggle/14242/logos/thumb76_76.png?t=2019-07-11-17-50-36
types:
- Tabular
- competitionDescription: Detect objects in varied and complex images
competitionId: 14315
competitionName: null
competitionTitle: Open Images 2019 - Object Detection
competitionUrl: /c/open-images-2019-object-detection
coverImageUrl: null
deadline: '2019-10-01T23:59:00Z'
evaluationMetric: mean Average Precision (mAP)
hostSegment: Research
organizationAvatarUrl: null
organizationName: Google Research
organizationUrl:
rewardQuantity: 25000.0
rewardTypeName: USD
solutions:
- label: 6th place solution
url: https://www.kaggle.com/c/open-images-2019-object-detection/discussion/110953
tags: ResNeXt 152 / 101
- label: 10th place solution
url: https://www.kaggle.com/c/open-images-2019-object-detection/discussion/111266
tags: resnext101, TTA, rcnn+resnext101
- label: 32nd place solution
url: https://www.kaggle.com/c/open-images-2019-object-detection/discussion/111022
tags: FRCNN resnet50, Inception resnet v2, YOLO v3
thumbnailImageUrl: https://storage.googleapis.com/kaggle-competitions/kaggle/14315/logos/thumb76_76.png?t=2019-04-24-05-15-38
types:
- Computer vision
- Object detection
- competitionDescription: Detect pairs of objects in particular relationships
competitionId: 14316
competitionName: null
competitionTitle: Open Images 2019 - Visual Relationship
competitionUrl: /c/open-images-2019-visual-relationship
coverImageUrl: null
deadline: '2019-10-01T23:59:00Z'
evaluationMetric: weighted mean of (1) mean Average Precision (mAP) on relationships detection, (2) Recall@N (where N=50), and (3) mean Average Precision on phrase detection
hostSegment: Research
organizationAvatarUrl: null
organizationName: Google Research
organizationUrl:
rewardQuantity: 25000.0
rewardTypeName: USD
solutions:
- label: 13th place solution
url: https://www.kaggle.com/c/open-images-2019-visual-relationship/discussion/110935
tags: mmdet
thumbnailImageUrl: https://storage.googleapis.com/kaggle-competitions/kaggle/14316/logos/thumb76_76.png?t=2019-04-24-05-15-47
types:
- Computer vision
- competitionDescription: Outline segmentation masks of objects in images
competitionId: 15043
competitionName: null
competitionTitle: Open Images 2019 - Instance Segmentation
competitionUrl: /c/open-images-2019-instance-segmentation
coverImageUrl: null
deadline: '2019-10-01T23:59:00Z'
evaluationMetric: mean Average Precision (mAP)
hostSegment: Research
organizationAvatarUrl: null
organizationName: Google Research
organizationUrl:
rewardQuantity: 25000.0
rewardTypeName: USD
solutions:
- label: 7th place solution
url: https://www.kaggle.com/c/open-images-2019-instance-segmentation/discussion/110983
tags: mmdetection, backbone x101,
- label: 11th place solution
url: https://www.kaggle.com/c/open-images-2019-instance-segmentation/discussion/111351
tags: ResNeXt152, ResNet152-C4
- label: 20th place solution
url: https://www.kaggle.com/c/open-images-2019-instance-segmentation/discussion/110908
tags: maskrcnn-benchmark
repositories:
- label: 7th place solution
url: https://github.com/boliu61/open-images-2019-instance-segmentation
thumbnailImageUrl: https://storage.googleapis.com/kaggle-competitions/kaggle/15043/logos/thumb76_76.png?t=2019-06-18-19-30-08
types:
- Computer vision
- Instance Segmentation
- competitionDescription: CellSignal Disentangling biological signal from experimental noise in cellular images
competitionId: 14420
competitionName: null
competitionTitle: Recursion Cellular Image Classification
competitionUrl: /c/recursion-cellular-image-classification
coverImageUrl: null
deadline: '2019-09-26T23:59:00Z'
evaluationMetric: Multiclass Accuracy
hostSegment: Research
organizationAvatarUrl: null
organizationName: Recursion Pharmaceuticals
organizationUrl:
rewardQuantity: 13000.0
rewardTypeName: USD
solutions:
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url: https://www.kaggle.com/c/recursion-cellular-image-classification/discussion/110337
tags: seresnext50, efficientnet, psuedo label
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url: https://www.kaggle.com/c/recursion-cellular-image-classification/discussion/110362
tags: DenseNet201, ResNeXt101_32x8d, HRNet-W18, HRNet-W30
- label: 6th place solution
url: https://www.kaggle.com/c/recursion-cellular-image-classification/discussion/110391
tags: efficientnet-b0
- label: 7th place solution
url: https://www.kaggle.com/c/recursion-cellular-image-classification/discussion/110335
tags: Resnet50
- label: 9th place solution
url: https://www.kaggle.com/c/recursion-cellular-image-classification/discussion/110366
tags: CosFace loss, Unsupervised Domain Adaptation by Backpropagation, seresnet50, senet154, xception, inceptionresnetv2, densenet161, densenet201
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url: https://www.kaggle.com/c/recursion-cellular-image-classification/discussion/110375
tags: Pytorch, Center Loss for embeddings, SeNet154, SeResnext50, SeResnext101, Polynet, EfficientNet-b6, ResNeXt101-wsl
- label: 11th place solution
url: https://www.kaggle.com/c/recursion-cellular-image-classification/discussion/110394
tags: Polyak averaging, EfficientNets B0 and B5, Cross Entropy
repositories:
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url: https://github.com/ngxbac/Kaggle-Recursion-Cellular
thumbnailImageUrl: https://storage.googleapis.com/kaggle-competitions/kaggle/14420/logos/thumb76_76.png?t=2019-06-26-02-51-45
types:
- Research
- Biology
- Classification
- Image data
- Computer vision
- competitionDescription: Help understand customer loyalty
competitionId: 10445
competitionName: null
competitionTitle: Elo Merchant Category Recommendation
competitionUrl: /c/elo-merchant-category-recommendation
coverImageUrl: null
deadline: '2019-02-26T23:59:00Z'
evaluationMetric: Root mean square error (RMSE)
hostSegment: Featured
organizationAvatarUrl: null
organizationName: Elo
organizationUrl:
rewardQuantity: 50000.0
rewardTypeName: USD
solutions:
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url: https://www.kaggle.com/c/elo-merchant-category-recommendation/discussion/82314
- label: 7th place solution
url: https://www.kaggle.com/c/elo-merchant-category-recommendation/discussion/82055
tags: word2vec features, Lightgbm, neural network
- label: 10th place solution
url: https://www.kaggle.com/c/elo-merchant-category-recommendation/discussion/82093
- label: 11th place solution
url: https://www.kaggle.com/c/elo-merchant-category-recommendation/discussion/82127
- label: 16th place solution
url: https://www.kaggle.com/c/elo-merchant-category-recommendation/discussion/82166
- label: 18th place solution
url: https://www.kaggle.com/c/elo-merchant-category-recommendation/discussion/82107
thumbnailImageUrl: https://storage.googleapis.com/kaggle-competitions/kaggle/10445/logos/thumb76_76.png?t=2018-10-24-17-14-05
types:
- Regression
- competitionDescription: Detect diabetic retinopathy to stop blindness before it's too late
competitionId: 14774
competitionName: null
competitionTitle: APTOS 2019 Blindness Detection
competitionUrl: /c/aptos2019-blindness-detection
coverImageUrl: null
deadline: '2019-09-07T23:59:00Z'
evaluationMetric: quadratic weighted kappa
hostSegment: Featured
organizationAvatarUrl: null
organizationName: Asia Pacific Tele-Ophthalmology Society (APTOS)
organizationUrl:
rewardQuantity: 50000.0
rewardTypeName: USD
solutions:
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url: https://www.kaggle.com/c/aptos2019-blindness-detection/discussion/108065
tags: inception_resnet_v2, inception_v4, seresnext50, seresnext101
- label: 2nd place solution
url: https://www.kaggle.com/c/aptos2019-blindness-detection/discussion/108122
tags: efficientnet b5
- label: 4th place solution
url: https://www.kaggle.com/c/aptos2019-blindness-detection/discussion/107926
tags: efficient-net b3 b4 b5
- label: 7th place solution
url: https://www.kaggle.com/c/aptos2019-blindness-detection/discussion/107987
tags: EfficientNet B2 B3 B4 B5 B6 B7
- label: 8th place solution
url: https://www.kaggle.com/c/aptos2019-blindness-detection/discussion/107960
tags: efficientnet b0 b1 b2 b3, Torch
- label: 10th place solution
url: https://www.kaggle.com/c/aptos2019-blindness-detection/discussion/108058
tags: SeResNext50, SeResNext101, InceptionV4
- label: 11th place solution
url: https://www.kaggle.com/c/aptos2019-blindness-detection/discussion/108030
tags: EfficientNet-B4 B5
thumbnailImageUrl: https://storage.googleapis.com/kaggle-competitions/kaggle/14774/logos/thumb76_76.png?t=2019-06-24-18-15-40
types:
- Computer vision
- Classification
- competitionDescription: Automatically recognize sounds and apply tags of varying natures
competitionId: 10700
competitionName: null
competitionTitle: Freesound Audio Tagging 2019
competitionUrl: /c/freesound-audio-tagging-2019
coverImageUrl: null
deadline: '2019-06-11T23:59:00Z'
evaluationMetric: label-weighted label-ranking average precision (lwlrap)
hostSegment: Research
organizationAvatarUrl: null
organizationName: Freesound
organizationUrl:
rewardQuantity: 5000.0
rewardTypeName: USD
solutions:
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url: https://www.kaggle.com/c/freesound-audio-tagging-2019/discussion/95924
- label: 2nd place solution
url: https://www.kaggle.com/c/freesound-audio-tagging-2019/discussion/97815
- label: 3rd place solution
url: https://www.kaggle.com/c/freesound-audio-tagging-2019/discussion/97926
- label: 4th place solution
url: https://www.kaggle.com/c/freesound-audio-tagging-2019/discussion/96440
- label: 6th place solution
url: https://www.kaggle.com/c/freesound-audio-tagging-2019/discussion/96440
- label: 7th place solution
url: https://www.kaggle.com/c/freesound-audio-tagging-2019/discussion/97812
- label: 8th place solution
url: https://www.kaggle.com/c/freesound-audio-tagging-2019/discussion/96446
- label: 9th place solution (by Iafoss)
url: https://www.kaggle.com/c/freesound-audio-tagging-2019/discussion/95409
- label: 9th place solution (by Theo Viel)
url: https://www.kaggle.com/c/freesound-audio-tagging-2019/discussion/97736
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url: https://www.kaggle.com/c/freesound-audio-tagging-2019/discussion/95344
thumbnailImageUrl: https://storage.googleapis.com/kaggle-competitions/kaggle/10700/logos/thumb76_76.png?t=2019-03-08-16-57-45
types:
- Audio
- Signal
- competitionDescription: Identify Pneumothorax disease in chest x-rays
competitionId: 14652
competitionName: null
competitionTitle: SIIM-ACR Pneumothorax Segmentation
competitionUrl: /c/siim-acr-pneumothorax-segmentation
coverImageUrl: null
deadline: '2019-09-04T23:59:00Z'
evaluationMetric: Dice coefficient
hostSegment: Featured
organizationAvatarUrl: null
organizationName: Society for Imaging Informatics in Medicine (SIIM)
organizationUrl:
rewardQuantity: 30000.0
rewardTypeName: USD
solutions:
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url: https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation/discussion/107603
tags: Network= Unet with Aspp, Backbone= se50 & se101
- label: 6th place solution
url: https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation/discussion/107743
tags: EncodingNet (ResNets, 512 and 1024 size), UNet (EfficientNet4, se-resnext50, SENet154 with 512, 640 and 1024 sizes)
- label: 8th place solution
url: https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation/discussion/107522
tags: Architecture= DeepLabV3+, Backbone= ResNet50/101 and ResNeXt50/101
- label: 10th place solution
url: https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation/discussion/107687
tags: classification models= se_resnext101, senet154, segmentation models= Unets dpn98, se_resnet101, se_densenet121
- label: 11th place solution
url: https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation/discussion/107518
- label: 12th place solution
url: https://www.kaggle.com/c/siim-acr-pneumothorax-segmentation/discussion/107757
thumbnailImageUrl: https://storage.googleapis.com/kaggle-competitions/kaggle/14652/logos/thumb76_76.png?t=2019-05-15-19-37-10
types:
- Computer vision
- competitionDescription: Can you identify who will make a transaction?
competitionId: 10385
competitionName: null
competitionTitle: Santander Customer Transaction Prediction
competitionUrl: /c/santander-customer-transaction-prediction
coverImageUrl: null
deadline: '2019-04-10T23:59:00Z'
evaluationMetric: area under the ROC curve
hostSegment: Featured
organizationAvatarUrl: null
organizationName: Banco Santander
organizationUrl:
rewardQuantity: 65000.0
rewardTypeName: USD
solutions:
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url: https://www.kaggle.com/c/santander-customer-transaction-prediction/discussion/89003
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url: https://www.kaggle.com/c/santander-customer-transaction-prediction/discussion/88939
- label: 3rd place solution
url: https://www.kaggle.com/c/santander-customer-transaction-prediction/discussion/88902
- label: 4th place solution
url: https://www.kaggle.com/c/santander-customer-transaction-prediction/discussion/88891
- label: 5th place solution
url: https://www.kaggle.com/c/santander-customer-transaction-prediction/discussion/88897
- label: 7th place solution
url: https://www.kaggle.com/c/santander-customer-transaction-prediction/discussion/89023
- label: 8th place solution
url: https://www.kaggle.com/c/santander-customer-transaction-prediction/discussion/88886
- label: 9th place solution
url: https://www.kaggle.com/c/santander-customer-transaction-prediction/discussion/88913
- label: 10th place solution
url: https://www.kaggle.com/c/santander-customer-transaction-prediction/discussion/88997
thumbnailImageUrl: https://storage.googleapis.com/kaggle-competitions/kaggle/10385/logos/thumb76_76.png?t=2019-02-15-16-53-52
types:
- Bank data
- Tabular
- competitionDescription: Experiment with creating puppy pics
competitionId: 15062
competitionName: null
competitionTitle: Generative Dog Images
competitionUrl: /c/generative-dog-images
coverImageUrl: null
deadline: '2019-08-14T23:59:00Z'
evaluationMetric: Memorization-informed Fréchet Inception Distance
hostSegment: Featured
organizationAvatarUrl: null
organizationName: Kaggle
organizationUrl:
rewardQuantity: 10000.0
rewardTypeName: USD
solutions:
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url: https://www.kaggle.com/c/generative-dog-images/discussion/106324
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url: https://www.kaggle.com/c/generative-dog-images/discussion/104211
- label: 3rd place solution
url: https://www.kaggle.com/c/generative-dog-images/discussion/106514
- label: 4th place solution
url: https://www.kaggle.com/c/generative-dog-images/discussion/104281
- label: 5th place solution
url: https://www.kaggle.com/c/generative-dog-images/discussion/104287
- label: 6th place solution
url: https://www.kaggle.com/c/generative-dog-images/discussion/104215
- label: 8th place solution
url: https://www.kaggle.com/c/generative-dog-images/discussion/106452
- label: 10th place solution
url: https://www.kaggle.com/johannl/sn-dcgan?scriptVersionId=18544882
- label: 11th place solution
url: https://www.kaggle.com/leonshangguan/dcgan-data-cleaning-sub-v1?scriptVersionId=18470145
thumbnailImageUrl: https://storage.googleapis.com/kaggle-competitions/kaggle/15062/logos/thumb76_76.png?t=2019-06-20-21-52-51
types:
- GAN
- competitionDescription: A synchronous Kernels-only competition
competitionId: 14239
competitionName: null
competitionTitle: Instant Gratification
competitionUrl: /c/instant-gratification
coverImageUrl: null
deadline: '2019-06-20T23:59:00Z'
evaluationMetric: area under the ROC curve
hostSegment: Featured
organizationAvatarUrl: null
organizationName: Kaggle
organizationUrl:
rewardQuantity: 5000.0
rewardTypeName: USD
solutions:
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url: https://www.kaggle.com/c/instant-gratification/discussion/96549
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url: https://www.kaggle.com/qiaoshiji/asdfghjkl?scriptVersionId=16011704
- label: 3rd place solution
url: https://www.kaggle.com/c/instant-gratification/discussion/96504
- label: 4th place solution
url: https://www.kaggle.com/rsakata/gmm-with-target-perfect-pred-random-shuffle
- label: 5th place solution
url: https://www.kaggle.com/c/instant-gratification/discussion/96510
- label: 6th place solution
url: https://www.kaggle.com/c/instant-gratification/discussion/96496
- label: 7th place solution
url: https://www.kaggle.com/c/instant-gratification/discussion/96506
- label: 8th place solution
url: https://www.kaggle.com/c/instant-gratification/discussion/96568
- label: 10th place solution
url: https://www.kaggle.com/c/instant-gratification/discussion/96556
- label: 13th place solution
url: https://www.kaggle.com/c/instant-gratification/discussion/96531
thumbnailImageUrl: https://storage.googleapis.com/kaggle-competitions/kaggle/14239/logos/thumb76_76.png?t=2019-04-23-02-08-49
types:
- Tabular
- competitionDescription: Predicting Molecular Properties
competitionId: 14313
competitionName: null
competitionTitle: Predicting Molecular Properties
competitionUrl: /c/champs-scalar-coupling
coverImageUrl: null
deadline: '2019-08-28T23:59:00Z'
evaluationMetric: Log of the Mean Absolute Error
hostSegment: Featured
organizationAvatarUrl: null
organizationName: CHAMPS
organizationUrl:
rewardQuantity: 30000.0
rewardTypeName: USD
solutions:
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url: https://www.kaggle.com/c/champs-scalar-coupling/discussion/106575
tags: soft graph transformer
- label: 2nd place solution
url: https://www.kaggle.com/c/champs-scalar-coupling/discussion/106468
tags: Pointnet architecture, Atomic Transformer, No Graph Neural Networks
- label: 3rd place solution
url: https://www.kaggle.com/c/champs-scalar-coupling/discussion/106572
tags: BERT
- label: 4th place solution
url: https://www.kaggle.com/c/champs-scalar-coupling/discussion/106534
tags: graph attention network, gated residual connections, Stochastic Weight Averaging
- label: 6th place solution
url: https://www.kaggle.com/c/champs-scalar-coupling/discussion/106407
tags: custom GNN architecture, MPNN model, multi-head attention layers
- label: 7th place solution
url: https://www.kaggle.com/c/champs-scalar-coupling/discussion/106421
tags: Graph NN
- label: 8th place solution
url: https://www.kaggle.com/c/champs-scalar-coupling/discussion/106347
tags: MPNN, GAT, Crystal GNN, SchNet, MegNet, 3DGNN
- label: 10th place solution
url: https://www.kaggle.com/c/champs-scalar-coupling/discussion/106271
tags: SchNet
- label: 12th place solution
url: https://www.kaggle.com/c/champs-scalar-coupling/discussion/106275
tags: PyTorch, CORMORANT
- label: 13th place solution
url: https://www.kaggle.com/c/champs-scalar-coupling/discussion/106377
tags: SchNet, CFConv
- label: 14th place solution
url: https://www.kaggle.com/c/champs-scalar-coupling/discussion/106298
tags: keras, GCN
thumbnailImageUrl: https://storage.googleapis.com/kaggle-competitions/kaggle/14313/logos/thumb76_76.png?t=2019-05-20-20-29-23
types:
- Tabular
- Chemistry
- competitionDescription: Jigsaw Unintended Bias in Toxicity Classification
competitionId: 12500
competitionName: null
competitionTitle: Jigsaw Unintended Bias in Toxicity Classification
competitionUrl: /c/jigsaw-unintended-bias-in-toxicity-classification
coverImageUrl: null
deadline: '2019-06-26T23:59:00Z'
evaluationMetric: Overall AUC
hostSegment: Featured
organizationAvatarUrl: null
organizationName: Jigsaw
organizationUrl:
rewardQuantity: 65000.0
rewardTypeName: USD
solutions:
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url: https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/103280
- label: 4th place solution
url: https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/101927
- label: 5th place solution
url: https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100718
- label: 7th place solution
url: https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100611
- label: 8th place solution
url: https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100961
- label: 9th place solution
url: https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100530
- label: 10th place solution
url: https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/101630
- label: 11th place solution
url: https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100799
- label: 14th place solution
url: https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100821
thumbnailImageUrl: https://storage.googleapis.com/kaggle-competitions/kaggle/12500/logos/thumb76_76.png?t=2019-03-13-21-51-14
types:
- Natural Language Processing (NLP)
- Fairness
- competitionDescription: Can you improve lung cancer detection?
competitionId: 6004
competitionTitle: Data Science Bowl 2017
competitionUrl: /c/data-science-bowl-2017
deadline: '2017-04-12T23:59:00Z'
evaluationMetric: Multi-class logarithmic loss (logloss)
hostSegment: featured
interviews:
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url: http://juliandewit.github.io/kaggle-ndsb2017/
- label: 9th place winner
url: https://eliasvansteenkiste.github.io/machine%20learning/lung-cancer-pred/
isInClass: false
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organizationName: null
organizationUrl: null
repositories:
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rewardDisplay: $1,000,000
rewardQuantity: 1000000
rewardTypeName: USD
thumbnailImageUrl: https://storage.googleapis.com/kaggle-competitions/kaggle/6004/logos/thumb76_76.png
totalKernels: 0
totalTeams: 1972
types:
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userHasEntered: false
- competitionDescription: Can you make buying life insurance easier?
competitionId: 4699
competitionTitle: Prudential Life Insurance Assessment
competitionUrl: /c/prudential-life-insurance-assessment
deadline: '2016-02-15T23:59:00Z'
hostSegment: featured
interviews:
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url: http://blog.kaggle.com/2016/03/14/prudential-life-insurance-assessment-winners-interview-2nd-place-bogdan-zhurakovskyi/
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rewardQuantity: 30000
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totalKernels: 371
totalTeams: 2619
userHasEntered: false
- competitionDescription: Is your model smarter than an 8th grader?
competitionId: 4571
competitionTitle: The Allen AI Science Challenge
competitionUrl: /c/the-allen-ai-science-challenge
deadline: '2016-02-13T23:59:00Z'
hostSegment: featured
interviews:
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url: http://blog.kaggle.com/2016/04/09/the-allen-ai-science-challenge-winners-interview-3rd-place-alejandro-mosquera/
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organizationName: Allen Institute for Artificial Intelligence
organizationUrl: allenai
repositories:
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url: https://github.com/5vision/kaggle_allen
rewardDisplay: $80,000
rewardQuantity: 80000
rewardTypeName: USD
thumbnailImageUrl: https://storage.googleapis.com/kaggle-competitions/kaggle/4571/logos/thumb76_76.png
totalKernels: 0
totalTeams: 170
userHasEntered: false
- competitionDescription: Which customers will purchase a quoted insurance plan?
competitionId: 4657
competitionTitle: Homesite Quote Conversion
competitionUrl: /c/homesite-quote-conversion
deadline: '2016-02-08T23:59:00Z'
hostSegment: featured
interviews:
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url: http://blog.kaggle.com/2016/04/08/homesite-quote-conversion-winners-write-up-1st-place-kazanova-faron-clobber/
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url: http://blog.kaggle.com/2016/02/29/homesite-quote-conversion-winners-interview-3rd-place-team-new-model-army-cad-quy/
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rewardQuantity: 20000
rewardTypeName: USD
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totalKernels: 258
totalTeams: 1764
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- competitionDescription: Help prevent cervical cancer by identifying at-risk populations
competitionId: 4494
competitionTitle: Cervical Cancer Screening
competitionUrl: /c/cervical-cancer-screening
deadline: '2016-02-01T23:59:00Z'
hostSegment: featured
interviews:
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rewardDisplay: $100,000
rewardQuantity: 100000
rewardTypeName: USD
thumbnailImageUrl: https://storage.googleapis.com/kaggle-competitions/kaggle/4494/logos/thumb76_76.png
totalKernels: 13
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- competitionDescription: Join a multi-disciplinary team of research scientists
competitionId: 4504
competitionTitle: The Winton Stock Market Challenge
competitionUrl: /c/the-winton-stock-market-challenge
deadline: '2016-01-26T23:59:00Z'
hostSegment: featured
interviews:
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isLimited: false
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rewardDisplay: $50,000
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rewardTypeName: USD
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totalKernels: 0
totalTeams: 832
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- competitionDescription: "\u266B Alarm\_bells ring, are you listening?\_Santa's sleigh\
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competitionId: 4704
competitionTitle: Santa's Stolen Sleigh
competitionUrl: /c/santas-stolen-sleigh
deadline: '2016-01-08T23:59:00Z'
hostSegment: featured
interviews:
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