csyhhu / L-OBS
Codes for Layer-wise Optimal Brain Surgeon
☆77Updated 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:
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY☆114Updated 5 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆114Updated 5 years ago
- PyTorch Implementation of Weights Pruning☆185Updated 7 years ago
- Code release for "Adversarial Robustness vs Model Compression, or Both?"☆91Updated 3 years ago
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆108Updated 6 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆108Updated 4 years ago
- CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"☆114Updated 5 years ago
- ☆213Updated 6 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 5 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆177Updated 2 years ago
- ☆38Updated 6 years ago
- Pytorch implementation of TRP☆45Updated 4 years ago
- Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)☆34Updated 5 years ago
- Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH☆104Updated 5 years ago
- Code example for the ICLR 2018 oral paper☆151Updated 6 years ago
- ☆53Updated 6 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆44Updated 2 years ago
- A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)☆40Updated 6 years ago
- Codes of Approximated Oracle Filter Pruning☆32Updated 2 years ago
- DNN quantization with outlier channel splitting☆112Updated 5 years ago
- Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.☆112Updated 6 years ago
- A PyTorch implementation of NASBench☆52Updated 2 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆241Updated 2 years ago
- ☆67Updated 4 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆89Updated 2 years ago
- Code for “Discrimination-aware-Channel-Pruning-for-Deep-Neural-Networks”☆183Updated 4 years ago
- Pruning Neural Networks with Taylor criterion in Pytorch☆318Updated 5 years ago
- Neural architecture search(NAS)☆14Updated 6 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆333Updated 9 months ago
- ☆18Updated 5 years ago