aojunzz / NM-sparsityLinks
☆241Updated 2 years ago
Alternatives and similar repositories for NM-sparsity
Users that are interested in NM-sparsity are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of BRECQ, ICLR 2021☆282Updated 4 years ago
- ☆161Updated 2 years ago
- The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)☆137Updated 4 years ago
- Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming☆99Updated 4 years ago
- Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.☆450Updated 2 years ago
- [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization☆95Updated 3 years ago
- Unofficial implementation of LSQ-Net, a neural network quantization framework☆303Updated last year
- ☆205Updated 3 years ago
- Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".☆128Updated 2 years ago
- ☆76Updated 3 years ago
- This repository contains integer operators on GPUs for PyTorch.☆218Updated 2 years ago
- The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…☆125Updated 2 weeks ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆281Updated last year
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆262Updated 2 years ago
- BitSplit Post-trining Quantization☆50Updated 3 years ago
- Post-Training Quantization for Vision transformers.☆228Updated 3 years ago
- Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.☆133Updated 3 years ago
- Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…☆47Updated last year
- PyTorch implementation for the APoT quantization (ICLR 2020)☆278Updated 10 months ago
- [ICML'21 Oral] I-BERT: Integer-only BERT Quantization☆258Updated 2 years ago
- The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…☆48Updated 3 years ago
- [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer☆350Updated 2 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆68Updated 3 years ago
- A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.☆37Updated 3 years ago
- A collection of research papers on efficient training of DNNs☆69Updated 3 years ago
- Code for ICML 2021 submission☆34Updated 4 years ago
- ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training☆200Updated 2 years ago
- Low Precision Arithmetic Simulation in PyTorch☆285Updated last year
- Quantization of Convolutional Neural networks.☆244Updated last year
- Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design☆160Updated 4 years ago