ruihangdu / PyTorch-Deep-CompressionLinks
A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)
☆40Updated 6 years ago
Alternatives and similar repositories for PyTorch-Deep-Compression
Users that are interested in PyTorch-Deep-Compression are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation of Weights Pruning☆185Updated 7 years ago
- Reducing the size of convolutional neural networks☆112Updated 7 years ago
- ☆213Updated 6 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆177Updated 2 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆115Updated 5 years ago
- Codes for Layer-wise Optimal Brain Surgeon☆78Updated 6 years ago
- Pytorch version for weight pruning for Murata Group's CREST project☆57Updated 7 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 5 years ago
- Code example for the ICLR 2018 oral paper☆152Updated 7 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- ☆52Updated 6 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 2 years ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆85Updated 6 years ago
- Implementation for Trained Ternary Network.☆108Updated 8 years ago
- Reproduction of WAGE in PyTorch.☆44Updated 6 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY☆114Updated 6 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆336Updated 11 months ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆108Updated 4 years ago
- Implementation of BinaryConnect on Pytorch☆39Updated 4 years ago
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆155Updated last year
- implement of DoReFaNet with tensorflow based on cifar10 dataset☆29Updated 7 years ago
- Some recent Quantizing techniques on PyTorch☆72Updated 5 years ago
- Binary Convolution Network for faster real-time processing in ASICs☆56Updated 7 years ago
- ConvNet training using pytorch☆347Updated 4 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 6 years ago
- Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"☆196Updated 5 years ago
- [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"☆152Updated 3 years ago
- This is a PyTorch implementation of the Scalpel. Node pruning for five benchmark networks and SIMD-aware weight pruning for LeNet-300-100…☆41Updated 6 years ago
- Compress neural network with pruning and quantization using TensorFlow.☆106Updated 6 years ago
- Exploring CNNs and model quantization on Caltech-256 dataset☆84Updated 7 years ago