Alternatives and similar repositories for NM-sparsity:

Users that are interested in NM-sparsity are comparing it to the libraries listed below

• yhhhli / BRECQ
  Pytorch implementation of BRECQ, ICLR 2021
  ☆272Updated 3 years ago
• zhutmost / lsq-net
  Unofficial implementation of LSQ-Net, a neural network quantization framework
  ☆290Updated 11 months ago
• hustzxd / LSQuantization
  The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)
  ☆131Updated 4 years ago
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆202Updated last year
• Qualcomm-AI-research / FP8-quantization
  ☆143Updated 2 years ago
• wimh966 / QDrop
  The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…
  ☆119Updated last year
• jakc4103 / DFQ
  PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
  ☆262Updated last year
• amirgholami / ZeroQ
  [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
  ☆277Updated last year
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆94Updated 2 years ago
• Zhen-Dong / HAWQ
  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
  ☆431Updated last year
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆96Updated 3 years ago
• hahnyuan / PTQ4ViT
  Post-Training Quantization for Vision transformers.
  ☆215Updated 2 years ago
• jun-fang / PWLQ
  Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks
  ☆69Updated 3 years ago
• Qualcomm-AI-research / oscillations-qat
  ☆76Updated 2 years ago
• submission2019 / cnn-quantization
  Quantization of Convolutional Neural networks.
  ☆244Updated 8 months ago
• IST-DASLab / OBC
  Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".
  ☆118Updated last year
• yhhhli / APoT_Quantization
  PyTorch implementation for the APoT quantization (ICLR 2020)
  ☆271Updated 4 months ago
• liuzechun / Nonuniform-to-Uniform-Quantization
  Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.
  ☆132Updated 2 years ago
• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆49Updated 3 years ago
• Qualcomm-AI-research / transformer-quantization
  ☆203Updated 3 years ago
• kssteven418 / I-BERT
  [ICML'21 Oral] I-BERT: Integer-only BERT Quantization
  ☆242Updated 2 years ago
• mit-han-lab / inter-operator-scheduler
  [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration
  ☆197Updated 2 years ago
• microsoft / microxcaling
  PyTorch emulation library for Microscaling (MX)-compatible data formats
  ☆217Updated last week
• hustvl / PD-Quant
  [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
  ☆55Updated 2 years ago
• hustzxd / EfficientPyTorch
  A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.
  ☆34Updated 3 years ago
• ModelTC / Outlier_Suppression_Plus
  Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…
  ☆47Updated last year
• ZouJiu1 / LSQplus
  LSQ+ or LSQplus
  ☆64Updated 2 months ago
• YanjingLi0202 / Q-ViT
  The official implementation of the NeurIPS 2022 paper Q-ViT.
  ☆88Updated last year
• wimh966 / outlier_suppression
  The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…
  ☆47Updated 2 years ago
• ModelTC / mqbench-paper
  ☆44Updated 3 years ago