Alternatives and similar repositories for awesome-pruning

Users that are interested in awesome-pruning are comparing it to the libraries listed below

• ghimiredhikura / Awasome-Pruning
  Awesome Pruning. ✅ Curated Resources for Neural Network Pruning.
  ☆173Updated last year
• xidongwu / AutoTrainOnce
  ☆21Updated last year
• Zhen-Dong / Awesome-Quantization-Papers
  List of papers related to neural network quantization in recent AI conferences and journals.
  ☆784Updated 10 months ago
• lihuantong / HAST
  ☆14Updated 2 years ago
• pprp / Awesome-LLM-Prune
  Awesome list for LLM pruning.
  ☆280Updated 3 months ago
• IST-DASLab / OBC
  Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".
  ☆129Updated 2 years ago
• megvii-research / FQ-ViT
  [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
  ☆357Updated 2 years ago
• Kai-Liu001 / Awesome-Model-Quantization
  This repository contains low-bit quantization papers from 2020 to 2025 on top conference.
  ☆94Updated 4 months ago
• hahnyuan / PTQ4ViT
  Post-Training Quantization for Vision transformers.
  ☆236Updated 3 years ago
• wimh966 / QDrop
  The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…
  ☆127Updated 4 months ago
• Efficient-ML / Awesome-Efficient-AIGC
  A list of papers, docs, codes about efficient AIGC. This repo is aimed to provide the info for efficient AIGC research, including languag…
  ☆204Updated 11 months ago
• WoosukKwon / retraining-free-pruning
  [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers
  ☆192Updated 2 years ago
• xuke225 / EQ-Net
  EQ-Net [ICCV 2023]
  ☆30Updated 2 years ago
• DD-DuDa / awesome-vit-quantization-acceleration
  List of papers related to Vision Transformers quantization and hardware acceleration in recent AI conferences and journals.
  ☆101Updated last year
• biomedical-cybernetics / Relative-importance-and-activation-pruning
  ☆56Updated last year
• yhhhli / BRECQ
  Pytorch implementation of BRECQ, ICLR 2021
  ☆287Updated 4 years ago
• falcon-xu / early-exit-papers
  A curated list of early exiting (LLM, CV, NLP, etc)
  ☆70Updated last year
• YanjingLi0202 / Q-ViT
  The official implementation of the NeurIPS 2022 paper Q-ViT.
  ☆104Updated 2 years ago
• tianyic / only_train_once_personal_footprint
  OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
  ☆311Updated last year
• liyunqianggyn / Awesome-LLMs-Pruning
  Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.
  ☆143Updated 5 months ago
• pprp / Awesome-LLM-Quantization
  Awesome list for LLM quantization
  ☆381Updated 3 months ago
• Hsu1023 / DuQuant
  [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.
  ☆180Updated last year
• zejiangh / Filter-GaP
  The official PyTorch implementation of CHEX: CHannel EXploration for CNN Model Compression (CVPR 2022). Paper is available at https://ope…
  ☆38Updated 3 years ago
• Mohamed-Imed-Eddine / Harmonic-NAS
  Harmonic-NAS: Hardware-Aware Multimodal Neural Architecture Search on Resource-constrained Devices (ACML 2023)
  ☆16Updated last year
• MambaQuant / MambaQuant
  ☆31Updated 7 months ago
• liuzechun / Nonuniform-to-Uniform-Quantization
  Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.
  ☆138Updated 3 years ago
• GoatWu / APHQ-ViT
  [CVPR 2025] APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers
  ☆35Updated 9 months ago
• ZouJiu1 / LSQplus
  LSQ+ or LSQplus
  ☆79Updated 11 months ago
• nbasyl / OFQ
  The official implementation of the ICML 2023 paper OFQ-ViT
  ☆36Updated 2 years ago
• zhutmost / lsq-net
  Unofficial implementation of LSQ-Net, a neural network quantization framework
  ☆309Updated last year