Alternatives and similar repositories for Awesome-Model-Quantization

Users that are interested in Awesome-Model-Quantization are comparing it to the libraries listed below

• Zhen-Dong / Awesome-Quantization-Papers
  List of papers related to neural network quantization in recent AI conferences and journals.
  ☆696Updated 4 months ago
• he-y / Awesome-Pruning
  A curated list of neural network pruning resources.
  ☆2,470Updated last year
• cedrickchee / awesome-ml-model-compression
  Awesome machine learning model compression research papers, quantization, tools, and learning material.
  ☆531Updated 11 months ago
• MingSun-Tse / Efficient-Deep-Learning
  Collection of recent methods on (deep) neural network compression and acceleration.
  ☆949Updated 4 months ago
• ModelTC / MQBench
  Model Quantization Benchmark
  ☆828Updated 4 months ago
• csyhhu / Awesome-Deep-Neural-Network-Compression
  Summary, Code for Deep Neural Network Quantization
  ☆552Updated 2 months ago
• hrcheng1066 / awesome-pruning
  ☆268Updated last year
• VainF / Torch-Pruning
  [CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.
  ☆3,113Updated last month
• Jermmy / pytorch-quantization-demo
  A simple network quantization demo using pytorch from scratch.
  ☆534Updated 2 years ago
• HuangOwen / Awesome-LLM-Compression
  Awesome LLM compression research papers and tools.
  ☆1,639Updated last month
• mit-han-lab / smoothquant
  [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
  ☆1,472Updated last year
• OpenPPL / ppq
  PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.
  ☆1,730Updated last year
• Zhen-Dong / HAWQ
  Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
  ☆442Updated 2 years ago
• mit-han-lab / once-for-all
  [ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
  ☆1,925Updated last year
• AberHu / Knowledge-Distillation-Zoo
  Pytorch implementation of various Knowledge Distillation (KD) methods.
  ☆1,712Updated 3 years ago
• yoshitomo-matsubara / torchdistill
  A coding-free framework built on PyTorch for reproducible deep learning studies. PyTorch Ecosystem. 🏆26 knowledge distillation methods p…
  ☆1,541Updated 3 weeks ago
• 666DZY666 / micronet
  micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantiz…
  ☆2,257Updated 3 months ago
• alibaba / TinyNeuralNetwork
  TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.
  ☆842Updated this week
• horseee / Awesome-Efficient-LLM
  A curated list for Efficient Large Language Models
  ☆1,835Updated 2 months ago
• FLHonker / Awesome-Knowledge-Distillation
  Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
  ☆2,622Updated 2 years ago
• memoiry / Awesome-model-compression-and-acceleration
  ☆668Updated 3 years ago
• AIoT-MLSys-Lab / Efficient-LLMs-Survey
  [TMLR 2024] Efficient Large Language Models: A Survey
  ☆1,200Updated 2 months ago
• quic / aimet
  AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
  ☆2,427Updated this week
• megvii-research / FQ-ViT
  [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer
  ☆347Updated 2 years ago
• Eric-mingjie / rethinking-network-pruning
  Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
  ☆1,514Updated 5 years ago
• ghimiredhikura / Awasome-Pruning
  Awasome Papers and Resources in Deep Neural Network Pruning with Source Code.
  ☆164Updated 11 months ago
• zhutmost / lsq-net
  Unofficial implementation of LSQ-Net, a neural network quantization framework
  ☆300Updated last year
• open-mmlab / mmrazor
  OpenMMLab Model Compression Toolbox and Benchmark.
  ☆1,620Updated last year
• dkozlov / awesome-knowledge-distillation
  Awesome Knowledge Distillation
  ☆3,723Updated 2 months ago
• yhhhli / BRECQ
  Pytorch implementation of BRECQ, ICLR 2021
  ☆282Updated 4 years ago