Pytorch Cifar10
Image classification models on CIFAR10 dataset using pytorch
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| 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 | 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. | ||||||||||
| 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 | 10 months ago | 1 | mit | Python | |||||
| Pretrained TorchVision models on CIFAR10 dataset (with weights) | ||||||||||
| Autogan | 460 | 3 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 | ||||||||||
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Python
Deep Learning
Pytorch
Deep Neural Networks
Resnet
Image Classification
Vgg
Cifar10