jerett / PyTorch-CIFAR10Links
practice on CIFAR10 with PyTorch
☆31Updated 6 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:
- PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by …☆421Updated 5 years ago
- This is the PyTorch implementation of VGG network trained on CIFAR10 dataset☆358Updated 6 years ago
- Code release for "Adversarial Robustness vs Model Compression, or Both?"☆90Updated 4 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆179Updated 2 years ago
- a pytorch implement of mobileNet v2 on cifar10☆62Updated 2 years ago
- Pruning Neural Networks with Taylor criterion in Pytorch☆319Updated 5 years ago
- PyTorch Implementation of Weights Pruning☆184Updated 7 years ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆383Updated 6 years ago
- PyTorch implementation of "Pruning Filters For Efficient ConvNets"☆152Updated 2 years ago
- Pytorch version for weight pruning for Murata Group's CREST project☆57Updated 7 years ago
- 3.41% and 17.11% error on CIFAR-10 and CIFAR-100☆333Updated 6 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆109Updated 4 years ago
- pytorch-tiny-imagenet☆184Updated 2 weeks ago
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆156Updated last year
- pytorch and cifar10☆215Updated 4 years ago
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆111Updated 6 years ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆681Updated 2 years ago
- ☆214Updated 6 years ago
- VGG16 models for CIFAR-10 and CIFAR-100 using Keras☆227Updated 3 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY☆115Updated 6 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆442Updated last year
- PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference☆884Updated 6 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆112Updated 5 years ago
- A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)☆40Updated 6 years ago
- bemova / Deep-Compression-Compressing-Deep-Neural-Networks-with-Pruning-Trained-Quantization-and-HuffmanIt is a pytorch implementation of https://arxiv.org/abs/1510.00149 paper.☆30Updated 7 years ago
- Codes for Layer-wise Optimal Brain Surgeon☆78Updated 6 years ago
- DL quantization for pytorch☆26Updated 6 years ago
- Binarized Neural Network (BNN) for pytorch☆525Updated last year
- Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”☆182Updated 4 years ago
- Changing several bit which overwhelms the quantized CNN☆43Updated 5 years ago