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
  Awasome Papers and Resources in Deep Neural Network Pruning with Source Code.
  ☆161Updated 11 months ago
• Zhen-Dong / Awesome-Quantization-Papers
  List of papers related to neural network quantization in recent AI conferences and journals.
  ☆679Updated 4 months ago
• xidongwu / AutoTrainOnce
  ☆17Updated 10 months ago
• pprp / Awesome-LLM-Prune
  Awesome list for LLM pruning.
  ☆246Updated 7 months ago
• wimh966 / QDrop
  The official PyTorch implementation of the ICLR2022 paper, QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quan…
  ☆123Updated 2 years ago
• IST-DASLab / OBC
  Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".
  ☆126Updated 2 years ago
• megvii-research / FQ-ViT
  [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
  ☆347Updated 2 years ago
• hahnyuan / PTQ4ViT
  Post-Training Quantization for Vision transformers.
  ☆223Updated 3 years 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…
  ☆186Updated 6 months ago
• biomedical-cybernetics / Relative-importance-and-activation-pruning
  ☆49Updated last year
• xuke225 / EQ-Net
  EQ-Net [ICCV 2023]
  ☆30Updated last year
• lihuantong / HAST
  ☆12Updated 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
• yhhhli / BRECQ
  Pytorch implementation of BRECQ, ICLR 2021
  ☆282Updated 4 years ago
• tianyic / only_train_once_personal_footprint
  OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
  ☆308Updated 10 months ago
• WoosukKwon / retraining-free-pruning
  [NeurIPS 2022] A Fast Post-Training Pruning Framework for Transformers
  ☆191Updated 2 years ago
• liuzechun / Nonuniform-to-Uniform-Quantization
  Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. In CVPR 2022.
  ☆133Updated 3 years ago
• liyunqianggyn / Awesome-LLMs-Pruning
  Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.
  ☆111Updated last week
• falcon-xu / early-exit-papers
  A curated list of early exiting (LLM, CV, NLP, etc)
  ☆58Updated 11 months ago
• pprp / Awesome-LLM-Quantization
  Awesome list for LLM quantization
  ☆263Updated this week
• nbasyl / OFQ
  The official implementation of the ICML 2023 paper OFQ-ViT
  ☆33Updated last year
• YanjingLi0202 / Q-ViT
  The official implementation of the NeurIPS 2022 paper Q-ViT.
  ☆96Updated 2 years ago
• Hsu1023 / DuQuant
  [NeurIPS 2024 Oral🔥] DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs.
  ☆165Updated 10 months ago
• yifanlu0227 / MIT-6.5940
  All Homeworks for TinyML and Efficient Deep Learning Computing 6.5940 • Fall • 2023 • https://efficientml.ai
  ☆177Updated last year
• alibaba / lightweight-neural-architecture-search
  This is a collection of our zero-cost NAS and efficient vision applications.
  ☆427Updated last year
• hustvl / PD-Quant
  [CVPR 2023] PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
  ☆57Updated 2 years ago
• theyoungkwon / TinyTrain
  The official implementation of TinyTrain [ICML '24]
  ☆22Updated last year
• Eclipsess / CHIP_NeurIPS2021
  Code for CHIP: CHannel Independence-based Pruning for Compact Neural Networks (NeruIPS 2021).
  ☆38Updated 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.
  ☆91Updated last year
• zhutmost / lsq-net
  Unofficial implementation of LSQ-Net, a neural network quantization framework
  ☆300Updated last year