ucbrise / actnnLinks
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
☆200Updated 2 years ago
Alternatives and similar repositories for actnn
Users that are interested in actnn are comparing it to the libraries listed below
Sorting:
- ☆236Updated 2 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆159Updated 5 years ago
- ☆41Updated 4 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆280Updated last year
- ☆226Updated 3 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆95Updated 3 years ago
- ☆36Updated 3 years ago
- ☆44Updated 4 years ago
- Code for ICML 2021 submission☆34Updated 4 years ago
- A general and accurate MACs / FLOPs profiler for PyTorch models☆624Updated last week
- code for "AttentiveNAS Improving Neural Architecture Search via Attentive Sampling"☆104Updated 3 years ago
- aw_nas: A Modularized and Extensible NAS Framework☆250Updated last year
- Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616☆132Updated 2 years ago
- [ICML 2022] "DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks", by Yonggan …☆72Updated 3 years ago
- Pytorch implementation of BRECQ, ICLR 2021☆282Updated 4 years ago
- Group Fisher Pruning for Practical Network Compression(ICML2021)☆160Updated 2 years ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆125Updated 2 years ago
- PyTorch implementation of SSQL (Accepted to ECCV2022 oral presentation)☆73Updated 2 years ago
- XNAS: An effective, modular, and flexible Neural Architecture Search (NAS) framework.☆48Updated 3 years ago
- [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration☆200Updated 3 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated 2 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆262Updated last year
- code for the paper "A Statistical Framework for Low-bitwidth Training of Deep Neural Networks"☆28Updated 4 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆69Updated 3 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆55Updated 5 years ago
- (CVPR 2021, Oral) Dynamic Slimmable Network☆229Updated 3 years ago
- ☆43Updated last year
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆136Updated 4 years ago
- BitSplit Post-trining Quantization☆50Updated 3 years ago
- Pytorch implementation of TPAMI 2022 -- 1xN Pattern for Pruning Convolutional Neural Networks☆43Updated 2 years ago