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 | 12 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 | ||||||||||
Paddleclas | 5,161 | 3 months ago | 14 | December 05, 2022 | 283 | apache-2.0 | Python | |||
A treasure chest for visual classification and recognition powered by PaddlePaddle | ||||||||||
Pytorch Cifar100 | 3,687 | 5 months ago | 53 | Python | ||||||
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet) | ||||||||||
Mmpretrain | 3,114 | 10 | 2 months ago | 33 | April 06, 2023 | 215 | apache-2.0 | Python | ||
OpenMMLab Pre-training Toolbox and Benchmark | ||||||||||
Deepdetect | 2,492 | 3 months ago | 92 | other | C++ | |||||
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE | ||||||||||
Imgclsmob | 2,399 | 9 | 2 years ago | 67 | September 21, 2021 | 6 | mit | Python | ||
Sandbox for training deep learning networks | ||||||||||
Efficientnet | 2,048 | 2 | 12 | 3 months ago | 9 | September 15, 2020 | 64 | apache-2.0 | Python | |
Implementation of EfficientNet model. Keras and TensorFlow Keras. | ||||||||||
Tensorflow2.0 Examples | 1,692 | a year ago | 99 | mit | Jupyter Notebook | |||||
🙄 Difficult algorithm, Simple code. | ||||||||||
Fast Autoaugment | 1,358 | 3 years ago | 22 | mit | Python | |||||
Official Implementation of 'Fast AutoAugment' in PyTorch. | ||||||||||
Torchdistill | 1,171 | 2 | 3 months ago | 24 | November 06, 2023 | mit | Python | |||
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆22 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark. |