Alternatives and similar repositories for awesome-quantization

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

• mrusci / training-mixed-precision-quantized-networks
  This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…
  ☆49Updated last year
• 1adrianb / expert-binary-networks
  Code for High-Capacity Expert Binary Networks (ICLR 2021).
  ☆27Updated 3 years ago
• papers-submission / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆35Updated last year
• Jangho-Kim / PSG-pytorch
  Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)
  ☆26Updated 4 years ago
• jakc4103 / scale-adjusted-training
  PyTorch implementation of Towards Efficient Training for Neural Network Quantization
  ☆15Updated 5 years ago
• ModelTC / LPCV2021_Winner_Solution
  ☆28Updated 3 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• Shunli-Wang / Tiny-YOLO-LSQ
  This is an implementation of YOLO using LSQ network quantization method.
  ☆23Updated 3 years ago
• yaozhewei / HAP
  ☆43Updated last year
• sony-si / ai-research
  ☆47Updated 4 years ago
• WeixiangXu / STTN
  ☆17Updated 2 years ago
• GATECH-EIC / ShiftAddNet
  [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network
  ☆71Updated 4 years ago
• snap-research / F8Net
  [ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
  ☆95Updated 3 years ago
• michaeltinsley / awesome-binary-neural-networks
  A curated list of binary neural network research papers and software packages.
  ☆26Updated 5 years ago
• jakc4103 / piecewise-quantization
  PyTorch implementation of Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation
  ☆21Updated 5 years ago
• zhutmost / neuralzip
  A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralz…
  ☆26Updated 2 years ago
• DeadAt0m / LSQFakeQuantize-PyTorch
  FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch
  ☆34Updated 3 years ago
• GATECH-EIC / CPT
  [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…
  ☆31Updated last year
• GATECH-EIC / SuperTickets
  [ECCV 2022] SuperTickets: Drawing Task-Agnostic Lottery Tickets from Supernets via Jointly Architecture Searching and Parameter Pruning
  ☆20Updated 2 years ago
• cogsys-tuebingen / uninas
  A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).
  ☆23Updated 3 years ago
• CAS-CLab / Training-Tricks-for-Binarized-Neural-Networks
  The collection of training tricks of binarized neural networks.
  ☆72Updated 4 years ago
• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆50Updated 3 years ago
• Qualcomm-AI-research / oscillations-qat
  ☆76Updated 2 years ago
• BillAmihom / RAPQ
  Pytorch implementation of RAPQ, IJCAI 2022
  ☆21Updated last year
• metcan / Binary-Convolutional-Neural-Network-Inference-on-GPU
  GPU implementation of Xnor network on inference level.
  ☆22Updated 4 years ago
• jafermarq / WinogradAwareNets
  Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)
  ☆27Updated last year
• moranshkolnik / RobustQuantization
  source code of the paper: Robust Quantization: One Model to Rule Them All
  ☆40Updated 2 years ago
• PannenetsF / TQT
  TQT's pytorch implementation.
  ☆21Updated 3 years ago
• KwangHoonAn / PACT
  Reproducing Quantization paper PACT
  ☆64Updated 2 years ago
• huqinghao / PalQuant
  ☆12Updated 2 years ago