Image_classification_sota
Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, Rep, etc.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pytorch Image Models | 29,680 |  | 1 | 346 | 21 days ago | 55 | November 24, 2023 | 96 | apache-2.0 | Python |
| PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more | ||||||||||
| Cvat | 11,169 |  | 3 | a month ago | 23 | November 27, 2023 | 504 | mit | TypeScript | |
| Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. | ||||||||||
| Segmentation_models.pytorch | 8,226 |  | 2 | 49 | 5 months ago | 13 | September 19, 2019 | 27 | mit | Python |
| Segmentation models with pretrained backbones. PyTorch. | ||||||||||
| Pretrained Models.pytorch | 8,094 |  | 52 | 42 | 3 years ago | 16 | October 29, 2018 | 91 | bsd-3-clause | Python |
| Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc. | ||||||||||
| Efficientnet Pytorch | 6,577 |  | 7 | 36 | 3 years ago | 13 | April 15, 2021 | 133 | apache-2.0 | Python |
| A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!) | ||||||||||
| Moco | 4,401 | 4 months ago | 55 | mit | Python | |||||
| PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722 | ||||||||||
| Super Gradients | 4,125 |  | 5 | 3 months ago | 38 | November 23, 2023 | 94 | apache-2.0 | Jupyter Notebook | |
| Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS. | ||||||||||
| Efficient Ai Backbones | 3,770 | a month ago | 71 | Python | ||||||
| Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab. | ||||||||||
| Deit | 3,603 | 7 months ago | 17 | apache-2.0 | Python | |||||
| Official DeiT repository | ||||||||||
| Damo Yolo | 3,598 | 8 months ago | 18 | apache-2.0 | Python | |||||
| DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement. | ||||||||||
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Python
Pytorch
Imagenet
Image Classification
Nas