aojunzz / NM-sparsity

Related projects: ⓘ

• yhhhli / BRECQ
  Pytorch implementation of BRECQ, ICLR 2021
  ☆247Updated 3 years ago
• wimh966 / QDrop
  The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…
  ☆107Updated last year
• jakc4103 / DFQ
  PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
  ☆256Updated 11 months ago
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆96Updated 2 years ago
• zhutmost / lsq-net
  Unofficial implementation of LSQ-Net, a neural network quantization framework
  ☆269Updated 4 months ago
• hahnyuan / PTQ4ViT
  Post-Training Quantization for Vision transformers.
  ☆176Updated 2 years ago
• liuzechun / Nonuniform-to-Uniform-Quantization
  Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.
  ☆112Updated 2 years ago
• Qualcomm-AI-research / transformer-quantization
  ☆186Updated 2 years ago
• amirgholami / ZeroQ
  [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
  ☆274Updated 9 months ago
• IST-DASLab / OBC
  Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".
  ☆95Updated last year
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆172Updated 11 months ago
• Qualcomm-AI-research / oscillations-qat
  ☆67Updated 2 years ago
• Qualcomm-AI-research / FP8-quantization
  ☆113Updated last year
• megvii-research / FQ-ViT
  [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
  ☆301Updated last year
• hustzxd / LSQuantization
  The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)
  ☆123Updated 3 years ago
• Zhen-Dong / HAWQ
  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
  ☆410Updated last year
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆94Updated 3 years ago
• yhhhli / APoT_Quantization
  PyTorch implementation for the APoT quantization (ICLR 2020)
  ☆265Updated last year
• jun-fang / PWLQ
  Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks
  ☆66Updated 2 years ago
• submission2019 / cnn-quantization
  Quantization of Convolutional Neural networks.
  ☆237Updated last month
• wimh966 / outlier_suppression
  The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…
  ☆46Updated last year
• ModelTC / Outlier_Suppression_Plus
  Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…
  ☆38Updated 10 months ago
• kssteven418 / I-BERT
  [ICML'21 Oral] I-BERT: Integer-only BERT Quantization
  ☆220Updated last year
• A-suozhang / awesome-quantization-and-fixed-point-training
  Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design
  ☆157Updated 3 years ago
• thu-nics / qllm-eval
  Code Repository of Evaluating Quantized Large Language Models
  ☆89Updated last week
• ucbrise / actnn
  ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
  ☆196Updated last year
• microsoft / microxcaling
  PyTorch emulation library for Microscaling (MX)-compatible data formats
  ☆143Updated last month
• mit-han-lab / inter-operator-scheduler
  [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration
  ☆191Updated 2 years ago
• Qualcomm-AI-research / pruning-vs-quantization
  ☆13Updated 6 months ago
• hustvl / PD-Quant
  [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
  ☆49Updated last year