Alternatives and similar repositories for pytorch_quantization

Users that are interested in pytorch_quantization are comparing it to the libraries listed below

• moranshkolnik / RobustQuantization
  source code of the paper: Robust Quantization: One Model to Rule Them All
  ☆40Updated 2 years ago
• ynahshan / nn-quantization-pytorch
  ☆56Updated 4 years ago
• hpnair / 18663_Project_FBNet
  Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)
  ☆34Updated 5 years ago
• LaVieEnRoseSMZ / AutoBNN
  ☆46Updated 5 years ago
• xu3kev / neural-networks-quantization-notes
  ☆67Updated 5 years ago
• nowgood / QuantizeCNNModel
  Implement Towards Effective Low-bitwidth Convolutional Neural Networks
  ☆41Updated 6 years ago
• 1adrianb / binary-nas
  ☆35Updated 5 years ago
• submission2019 / AnalyticalScaleForIntegerQuantization
  Example for applying Gaussian and Laplace clipping on activations of CNN.
  ☆34Updated 6 years ago
• EunhyeokPark / script_for_WQ
  ☆13Updated 8 years ago
• ModelTC / mqbench-paper
  ☆44Updated 3 years ago
• csyhhu / MetaQuant
  Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019
  ☆54Updated 5 years ago
• caiwenpu / Compression_Paper
  ☆46Updated 5 years ago
• LaVieEnRoseSMZ / OQA
  ☆28Updated 4 years ago
• zhaoweicai / EdMIPS
  PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf
  ☆59Updated 4 years ago
• EunhyeokPark / PROFIT
  ☆47Updated 3 years ago
• 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
• julianfaraone / SYQ
  This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…
  ☆31Updated 5 years ago
• DeGirum / pruned-models
  Repository containing pruned models and related information
  ☆37Updated 4 years ago
• jakc4103 / scale-adjusted-training
  PyTorch implementation of Towards Efficient Training for Neural Network Quantization
  ☆15Updated 5 years ago
• ChenShisen / ncnnqat
  quantize aware training package for NCNN on pytorch
  ☆70Updated 3 years ago
• cornell-zhang / dnn-quant-ocs
  DNN quantization with outlier channel splitting
  ☆113Updated 5 years ago
• sony-si / ai-research
  ☆47Updated 4 years ago
• yashbhalgat / QualcommAI-MicroNet-submission-MixNet
  3rd place solution for NeurIPS 2019 MicroNet challenge
  ☆35Updated 5 years ago
• peiswang / Two-Step-Quantization-AlexNet
  Two-Step Quantization on AlexNet
  ☆13Updated 6 years ago
• mit-han-lab / apq
  [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
  ☆157Updated 4 years ago
• Roll920 / ThiNet_Code
  Caffe implementation of ICCV 2017 & TPAMI 2018 paper - ThiNet
  ☆46Updated 6 years ago
• Enderdead / Pytorch_Quantize_impls
  Some recent Quantizing techniques on PyTorch
  ☆72Updated 5 years ago
• papers-submission / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆35Updated last year
• hey-yahei / OpSummary.MXNet
  A tool to count operators and parameters of your MXNet-Gluon model.
  ☆23Updated 5 years ago
• aliyun / alibabacloud-quantization-networks
  alibabacloud-quantization-networks
  ☆121Updated 5 years ago