juliagusak / model-compression-and-acceleration-progressLinks
Repository to track the progress in model compression and acceleration
☆106Updated 4 years ago
Alternatives and similar repositories for model-compression-and-acceleration-progress
Users that are interested in model-compression-and-acceleration-progress are comparing it to the libraries listed below
Sorting:
- papers about model compression☆165Updated 2 years ago
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆157Updated last year
- On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for n…☆167Updated 5 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆280Updated last year
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"☆195Updated 5 years ago
- CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"☆114Updated 5 years ago
- MUSCO: MUlti-Stage COmpression of neural networks☆72Updated 4 years ago
- Implementation of Neuron-level Structured Pruning using Polarization Regularizer☆82Updated 2 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆263Updated 2 years ago
- Pruning Neural Networks with Taylor criterion in Pytorch☆319Updated 5 years ago
- alibabacloud-quantization-networks☆122Updated 5 years ago
- ☆214Updated 6 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆179Updated 2 years ago
- Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)☆34Updated 5 years ago
- Pytorch version for weight pruning for Murata Group's CREST project☆57Updated 7 years ago
- ☆48Updated 3 years ago
- Using ideas from product quantization for state-of-the-art neural network compression.☆146Updated 4 years ago
- (ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning☆308Updated 2 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆158Updated 5 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆112Updated 5 years ago
- Repository containing pruned models and related information☆37Updated 4 years ago
- Some recent Quantizing techniques on PyTorch☆72Updated 6 years ago
- ☆48Updated 5 years ago
- PyTorch Implementation of Weights Pruning☆184Updated 7 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 3 years ago
- Papers for deep neural network compression and acceleration☆401Updated 4 years ago
- A pytorch implementation of dorefa quantization☆113Updated 5 years ago
- The collection of training tricks of binarized neural networks.☆72Updated 4 years ago
- Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search☆145Updated 4 years ago