jerett / PyTorch-CIFAR10Links
practice on CIFAR10 with PyTorch
☆31Updated 7 years ago
Alternatives and similar repositories for PyTorch-CIFAR10
Users that are interested in PyTorch-CIFAR10 are comparing it to the libraries listed below
Sorting:
- This is the PyTorch implementation of VGG network trained on CIFAR10 dataset☆358Updated 6 years ago
- a pytorch implement of mobileNet v2 on cifar10☆64Updated 3 years ago
- PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by …☆423Updated 5 years ago
- pytorch and cifar10☆216Updated 4 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆181Updated 3 years ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆385Updated 6 years ago
- Pruning Neural Networks with Taylor criterion in Pytorch☆320Updated 6 years ago
- 3.41% and 17.11% error on CIFAR-10 and CIFAR-100☆337Updated 7 years ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆688Updated 2 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆445Updated 2 years ago
- pytorch-tiny-imagenet☆188Updated last week
- PyTorch implementation of "Pruning Filters For Efficient ConvNets"☆153Updated 2 years ago
- Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.☆1,339Updated last year
- Pretrained models on CIFAR10/100 in PyTorch☆380Updated 7 months ago
- This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet…☆441Updated 7 years ago
- Code release for "Adversarial Robustness vs Model Compression, or Both?"☆90Updated 4 years ago
- Summary, Code for Deep Neural Network Quantization☆558Updated 6 months ago
- Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch☆478Updated 5 years ago
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆110Updated 6 years ago
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆158Updated last year
- Network Slimming (Pytorch) (ICCV 2017)☆917Updated 5 years ago
- Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019☆927Updated 2 years ago
- PyTorch Implementation of Weights Pruning☆184Updated 7 years ago
- A challenge to explore adversarial robustness of neural networks on CIFAR10.☆506Updated 4 years ago
- Pytorch implementation of our paper accepted by CVPR 2020 (Oral) -- HRank: Filter Pruning using High-Rank Feature Map☆256Updated 4 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆108Updated 5 years ago
- A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)☆40Updated 7 years ago
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆353Updated 5 years ago
- model learning and test for tiny-imageNet☆25Updated 8 years ago
- Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.☆576Updated 6 years ago