Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
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. | ||||||||||
Pytorch Cifar | 5,131 | a year ago | 103 | mit | Python | |||||
95.47% on CIFAR10 with PyTorch | ||||||||||
Segmentation_models | 4,514 | 12 | 16 | 3 months ago | 8 | January 10, 2020 | 263 | mit | Python | |
Segmentation models with pretrained backbones. Keras and TensorFlow Keras. | ||||||||||
Pytorch Opcounter | 4,368 | 3 | 71 | 7 months ago | 49 | September 07, 2022 | 71 | mit | Python | |
Count the MACs / FLOPs of your PyTorch model. | ||||||||||
Torch2trt | 4,267 | 4 months ago | 320 | mit | Python | |||||
An easy to use PyTorch to TensorRT converter | ||||||||||
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) | ||||||||||
Flops Counter.pytorch | 2,606 | 5 | 19 | 3 months ago | 20 | October 27, 2023 | 30 | mit | Python | |
Flops counter for convolutional networks in pytorch framework | ||||||||||
Captcha_trainer | 2,505 | 2 | 2 years ago | 3 | June 04, 2020 | 59 | apache-2.0 | Python | ||
[验证码识别-训练] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model. | ||||||||||
Torch Pruning | 2,035 | 4 | 3 months ago | 33 | November 09, 2023 | 194 | mit | Python | ||
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs |