jnjaby / Model-Compression-AccelerationLinks
Paper list on model compression and acceleration
☆26Updated 6 years ago
Alternatives and similar repositories for Model-Compression-Acceleration
Users that are interested in Model-Compression-Acceleration are comparing it to the libraries listed below
Sorting:
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 5 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆44Updated 2 years ago
- ☆15Updated 5 years ago
- [ECCV18] Constraint-Aware Deep Neural Network Compression☆12Updated 6 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆41Updated 6 years ago
- Binary Convolution Network for faster real-time processing in ASICs☆56Updated 6 years ago
- Caffe implementation of ICCV 2017 & TPAMI 2018 paper - ThiNet☆46Updated 6 years ago
- ☆45Updated 5 years ago
- ☆87Updated 6 years ago
- [ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions, surpassing MobileNetV2☆102Updated 5 years ago
- Caffe implementation for Active Shift Layer(ASL)☆32Updated 6 years ago
- Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124☆72Updated 6 years ago
- Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"☆26Updated 5 years ago
- Yet Another Pytorch Distributed MobileNetV2-based Networks Implementation☆64Updated 5 years ago
- ☆46Updated 5 years ago
- Mobilenet model converted from tensorflow☆48Updated 6 years ago
- PyTorch implementation of Group Normalization https://arxiv.org/abs/1803.08494☆11Updated 7 years ago
- Some recent Quantizing techniques on PyTorch☆72Updated 5 years ago
- Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019☆18Updated 3 years ago
- A Gluon implementation of Mnasnet☆59Updated 6 years ago
- ☆28Updated 4 years ago
- Caffe implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).☆27Updated 7 years ago
- Tools for computing model parameters and FLOPs.☆87Updated 6 years ago
- ☆34Updated 8 years ago
- Lookahead Optimizer: k steps forward, 1step back for MXNet☆21Updated 4 years ago
- Code for IJCAI2019 paper☆46Updated 5 years ago
- Tensorflow Implementation of ChannelNets (NeurIPS 18)☆76Updated 6 years ago
- caffe implementation of single level quantization☆19Updated 6 years ago
- Training Low-bits DNNs with Stochastic Quantization☆73Updated 7 years ago
- Two-Step Quantization on AlexNet☆13Updated 6 years ago