ShenghaiRong / awesome-model-compression-and-acceleration-1
a list of awesome papers on deep model ompression and acceleration
☆10Updated 7 years ago
Alternatives and similar repositories for awesome-model-compression-and-acceleration-1:
Users that are interested in awesome-model-compression-and-acceleration-1 are comparing it to the libraries listed below
- model-compression-and-acceleration-4-DNN☆21Updated 6 years ago
- Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.☆112Updated 6 years ago
- ☆20Updated 7 years ago
- implementation of Iterative Pruning for Deep neural network [Han2015].☆40Updated 6 years ago
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Updated 6 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆108Updated 4 years ago
- Some recent Quantizing techniques on PyTorch☆72Updated 5 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 6 years ago
- Binary Convolution Network for faster real-time processing in ASICs☆56Updated 6 years ago
- Caffe implementation for dynamic network surgery.☆186Updated 7 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆114Updated 5 years ago
- Implementation for Trained Ternary Network.☆108Updated 8 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
- PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)☆124Updated 6 years ago
- ☆33Updated 8 years ago
- Implementation of Ternary Weight Networks In Caffe☆63Updated 8 years ago
- Tensorflow codes for "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"☆30Updated 5 years ago
- ☆35Updated 5 years ago
- Recreated deep compression's pruning, quantization and huffman encoding pipeline☆9Updated 6 years ago
- Two-Step Quantization on AlexNet☆13Updated 6 years ago
- implement of DoReFaNet with tensorflow based on cifar10 dataset☆29Updated 7 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆42Updated 6 years ago
- A Unified, Systematic Framework of Structured Weight Pruning for DNNs☆22Updated 6 years ago
- ☆87Updated 6 years ago
- Code example for the ICLR 2018 oral paper☆151Updated 6 years ago
- Training Low-bits DNNs with Stochastic Quantization☆73Updated 7 years ago
- PyTorch implementation of "Single-Path NAS: Device-Aware Efficient ConvNet Design"☆37Updated 2 years ago
- Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124☆71Updated 6 years ago
- Implementations of the XNOR networks☆12Updated 7 years ago
- ☆18Updated 5 years ago