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AI-playground
A list of papers on every AI topic. And hand-craft implementation of data science, machine learning and deep learning.
https://github.com/jaejungscene/AI-playground
Last synced: 5 days ago
JSON representation
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Object Detection
- PDF - detection-algorithm/R-CNN)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/vexxingbanana/yolov1-from-scratch-pytorch) [](https://github.com/Tshzzz/pytorch_yolov1)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/jainamshah17/gwd-retinanet-pytorch-train) [](https://github.com/yhenon/pytorch-retinanet)|
- PDF - detection-algorithm/R-CNN)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/vexxingbanana/yolov1-from-scratch-pytorch) [](https://github.com/Tshzzz/pytorch_yolov1)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/jainamshah17/gwd-retinanet-pytorch-train) [](https://github.com/yhenon/pytorch-retinanet)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/robinteuwens/mask-rcnn-detailed-starter-code) [](https://github.com/facebookresearch/Detectron)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/ultralytics/yolov3) [](https://github.com/ayooshkathuria/pytorch-yolo-v3)|
- PDF - Selective-Anchor-Free-Module-for-Single-Shot-Object-Detection)|
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Domain Generalization
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Image Classification
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/kalelpark/review-a-convnet-for-the-2020s) [](https://github.com/facebookresearch/ConvNeXt)|
- PDF - V2)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/manabendrarout/vision-transformer-vit-pytorch-on-tpus-train/notebook) [](https://github.com/google-research/vision_transformer)|
- PDF - badge.svg)](https://colab.research.google.com/github/bentrevett/pytorch-image-classification/blob/master/2_lenet.ipynb)|
- PDF - badge.svg)](https://colab.research.google.com/github/d2l-ai/d2l-en-colab/blob/master/chapter_convolutional-modern/alexnet.ipynb) |
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/won6314/resnet-with-pytorch) [](https://github.com/pytorch/vision/blob/main/torchvision/models/resnet.py)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/kerimelebiler/digit-recognizer-with-squeezenet) [](https://github.com/forresti/SqueezeNet)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/kevfern/densenet-implementation-for-classification#3.-DenseNet) [](https://github.com/liuzhuang13/DenseNet)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/yasserh/xception-implementation) [](https://github.com/tstandley/Xception-PyTorch)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/sonukiller99/mobilenet-from-scratch) [](https://github.com/jmjeon94/MobileNet-Pytorch/blob/master/MobileNetV1.py)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/dcosmin/shufflenet-with-keras) [](https://github.com/jaxony/ShuffleNet)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/vitouphy/mobilenet-from-scratch) [](https://github.com/tensorflow/tfjs-models/tree/master/mobilenet)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/l4morak/just-a-nasnet) [](https://github.com/MarSaKi/nasnet)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/longyunguo/cnn-with-a-squeeze-and-excitation-mechanism) [](https://github.com/hujie-frank/SENet)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/chanhu/residual-attention-network-pytorch/notebook) [](https://github.com/tengshaofeng/ResidualAttentionNetwork-pytorch)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/marcberghouse/cnn-with-cbam-module) [](https://github.com/elbuco1/CBAM)|
- PDF - sqlai/mobilenetv3/blob/adc0ca87e1dd8136cd000ae81869934060171689/mobilenetv3.py#L75)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/vikramsandu/efficientnet-from-scratch) [](https://github.com/lukemelas/EfficientNet-PyTorch)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/manabendrarout/vision-transformer-vit-pytorch-on-tpus-train/notebook) [](https://github.com/google-research/vision_transformer)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/pdochannel/swin-transformer-in-pytorch) [](https://github.com/microsoft/Swin-Transformer)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/kalelpark/review-a-convnet-for-the-2020s) [](https://github.com/facebookresearch/ConvNeXt)|
- PDF - V2)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/datastrophy/vgg16-pytorch-implementation) [](https://github.com/Lornatang/VGG-PyTorch/blob/main/model.py)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/ashfakyeafi/googlenet-from-scratch-pytorch) [](https://github.com/Lornatang/GoogLeNet-PyTorch/blob/main/model.py)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/marcberghouse/cnn-with-cbam-module) [](https://github.com/elbuco1/CBAM)|
- PDF - sqlai/mobilenetv3/blob/adc0ca87e1dd8136cd000ae81869934060171689/mobilenetv3.py#L75)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/vikramsandu/efficientnet-from-scratch) [](https://github.com/lukemelas/EfficientNet-PyTorch)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/pdochannel/swin-transformer-in-pytorch) [](https://github.com/microsoft/Swin-Transformer)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/vitouphy/mobilenet-from-scratch) [](https://github.com/tensorflow/tfjs-models/tree/master/mobilenet)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/l4morak/just-a-nasnet) [](https://github.com/MarSaKi/nasnet)|
- PDF - in-kaggle.svg)](https://www.kaggle.com/code/chanhu/residual-attention-network-pytorch/notebook) [](https://github.com/tengshaofeng/ResidualAttentionNetwork-pytorch)|
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Image Segmentation
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3D Reconstruction
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Natural Language Processing
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Image Super Resolution
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Diffusion
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Meta Learning
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Semi Supervised Learning
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Data Augmentation
- PDF - paper-list/blob/0db9c4b346ae68a34bb2c15d4e0cddd3a9427c7d/code/cutmix.py#L1)
- PDF - |
- PDF - |
- PDF - paper-list/blob/0db9c4b346ae68a34bb2c15d4e0cddd3a9427c7d/code/mixup.py#L1)
- PDF - paper-list/blob/0db9c4b346ae68a34bb2c15d4e0cddd3a9427c7d/code/cutmix.py#L1)
- PDF - |
- PDF - |
- PDF - paper-list/blob/0db9c4b346ae68a34bb2c15d4e0cddd3a9427c7d/code/mixup.py#L1)
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Util
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Action Classification
- PDF - Local-NN-Pytorch)
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Face Recognition
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Computer System for AI
Categories
Image Classification
37
Object Detection
16
Meta Learning
9
Image Segmentation
8
Computer System for AI
8
Data Augmentation
8
Image Super Resolution
5
Face Recognition
4
Util
4
Natural Language Processing
3
Semi Supervised Learning
3
Diffusion
2
3D Reconstruction
2
Domain Generalization
2
Action Classification
1
Sub Categories