csyhhu / L-OBSLinks
Codes for Layer-wise Optimal Brain Surgeon
☆78Updated 6 years ago
Alternatives and similar repositories for L-OBS
Users that are interested in L-OBS are comparing it to the libraries listed below
Sorting:
- PyTorch Implementation of Weights Pruning☆185Updated 7 years ago
- ☆213Updated 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
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆115Updated 5 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆108Updated 4 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆177Updated 2 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- ☆52Updated 6 years ago
- Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”☆183Updated 4 years ago
- Reducing the size of convolutional neural networks☆112Updated 7 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 2 years ago
- Code release for "Adversarial Robustness vs Model Compression, or Both?"☆91Updated 4 years ago
- ☆46Updated 5 years ago
- Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"☆196Updated 5 years ago
- Pruning Neural Networks with Taylor criterion in Pytorch☆319Updated 5 years ago
- Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.☆112Updated 7 years ago
- CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"☆114Updated 5 years ago
- Pytorch implementation of TRP☆45Updated 4 years ago
- Code example for the ICLR 2018 oral paper☆152Updated 7 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 5 years ago
- DNN quantization with outlier channel splitting☆113Updated 5 years ago
- A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)☆40Updated 6 years ago
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆155Updated last year
- Pytorch Implementation of Neural Architecture Optimization☆113Updated 4 years ago
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆108Updated 6 years ago
- A PyTorch implementation of NASBench☆52Updated 2 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆29Updated 6 years ago
- [ICLR 2020] NAS evaluation is frustratingly hard☆149Updated last year
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆167Updated 4 years ago