Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Pytorch Cifar | 5,131 | a year ago | 103 | mit | Python | |||||
95.47% on CIFAR10 with PyTorch | ||||||||||
Pytorch Playground | 2,366 | a year ago | 9 | mit | Python | |||||
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet) | ||||||||||
Knowledge Distillation Pytorch | 1,780 | a year ago | 17 | mit | Python | |||||
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility | ||||||||||
Pytorch Classification | 1,244 | 3 years ago | 30 | mit | Python | |||||
Classification with PyTorch. | ||||||||||
Torchdistill | 1,171 | 2 | 4 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. | ||||||||||
Pytorch_image_classification | 979 | 2 years ago | 1 | mit | Python | |||||
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet | ||||||||||
Pytorch_resnet_cifar10 | 614 | 3 years ago | 3 | bsd-2-clause | Python | |||||
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper. | ||||||||||
Pytorch_cifar10 | 520 | a year ago | 1 | mit | Python | |||||
Pretrained TorchVision models on CIFAR10 dataset (with weights) | ||||||||||
Autogan | 460 | 4 months ago | 1 | mit | Python | |||||
[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang | ||||||||||
Neural Backed Decision Trees | 445 | 3 years ago | 8 | mit | Python | |||||
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet |