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
  ☆266Updated 3 years ago
• wimh966 / QDrop
  The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…
  ☆115Updated last year
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆94Updated 2 years ago
• zhutmost / lsq-net
  Unofficial implementation of LSQ-Net, a neural network quantization framework
  ☆287Updated 9 months ago
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆191Updated last year
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆96Updated 3 years ago
• hustzxd / LSQuantization
  The PyTorch implementation of Learned Step size Quantization (LSQ) in ICLR2020 (unofficial)
  ☆128Updated 4 years ago
• Zhen-Dong / HAWQ
  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
  ☆427Updated last year
• jakc4103 / DFQ
  PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.
  ☆260Updated last year
• Qualcomm-AI-research / FP8-quantization
  ☆139Updated last year
• Qualcomm-AI-research / oscillations-qat
  ☆75Updated 2 years ago
• liuzechun / Nonuniform-to-Uniform-Quantization
  Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.
  ☆121Updated 2 years ago
• amirgholami / ZeroQ
  [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
  ☆276Updated last year
• hahnyuan / PTQ4ViT
  Post-Training Quantization for Vision transformers.
  ☆206Updated 2 years ago
• IST-DASLab / OBC
  Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".
  ☆110Updated last year
• jun-fang / PWLQ
  Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks
  ☆68Updated 3 years ago
• Qualcomm-AI-research / transformer-quantization
  ☆202Updated 3 years ago
• yhhhli / APoT_Quantization
  PyTorch implementation for the APoT quantization (ICLR 2020)
  ☆272Updated 2 months ago
• submission2019 / cnn-quantization
  Quantization of Convolutional Neural networks.
  ☆243Updated 6 months ago
• hustvl / PD-Quant
  [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
  ☆52Updated last year
• ModelTC / mqbench-paper
  ☆44Updated 3 years ago
• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆49Updated 3 years ago
• zzzxxxttt / pytorch_DoReFaNet
  A pytorch implementation of DoReFa-Net
  ☆134Updated 5 years ago
• megvii-research / FQ-ViT
  [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
  ☆325Updated last year
• 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
• mit-han-lab / haq
  [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
  ☆379Updated 4 years ago
• mit-han-lab / apq
  [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
  ☆157Updated 4 years ago
• kssteven418 / I-BERT
  [ICML'21 Oral] I-BERT: Integer-only BERT Quantization
  ☆239Updated 2 years ago
• mit-han-lab / inter-operator-scheduler
  [MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration
  ☆197Updated 2 years ago