Alternatives and similar repositories for AutoBNN

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

• nowgood / QuantizeCNNModel
  Implement Towards Effective Low-bitwidth Convolutional Neural Networks
  ☆41Updated 6 years ago
• ynahshan / nn-quantization-pytorch
  ☆56Updated 4 years ago
• submission2019 / AnalyticalScaleForIntegerQuantization
  Example for applying Gaussian and Laplace clipping on activations of CNN.
  ☆34Updated 6 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
• moranshkolnik / RobustQuantization
  source code of the paper: Robust Quantization: One Model to Rule Them All
  ☆40Updated 2 years ago
• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆50Updated 3 years ago
• 1adrianb / binary-nas
  ☆35Updated 5 years ago
• jun-fang / PWLQ
  Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks
  ☆69Updated 3 years ago
• ModelTC / mqbench-paper
  ☆44Updated 3 years ago
• jakc4103 / scale-adjusted-training
  PyTorch implementation of Towards Efficient Training for Neural Network Quantization
  ☆15Updated 5 years ago
• zhaohui-yang / Binary-Neural-Networks
  Binary neural networks developed by Huawei Noah's Ark Lab
  ☆29Updated 4 years ago
• ChaofanTao / FAT_Quantization
  Pytorch implementation for FAT: learning low-bitwidth parametric representation via frequency-aware transformation
  ☆27Updated 4 years ago
• zhaoweicai / EdMIPS
  PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf
  ☆59Updated 4 years ago
• hustzxd / EfficientPyTorch
  A PyTorch Framework for Efficient Pruning and Quantization for specialized accelerators.
  ☆34Updated 3 years ago
• sony-si / ai-research
  ☆47Updated 4 years ago
• mostafaelhoushi / DeepShift
  Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298
  ☆112Updated 3 years ago
• hpnair / 18663_Project_FBNet
  Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)
  ☆34Updated 5 years ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• Enderdead / Pytorch_Quantize_impls
  Some recent Quantizing techniques on PyTorch
  ☆72Updated 5 years ago
• Jzz24 / pytorch_quantization
  A pytorch implementation of dorefa quantization
  ☆113Updated 5 years ago
• mit-han-lab / apq
  [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
  ☆157Updated 4 years ago
• papers-submission / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆35Updated last year
• LaVieEnRoseSMZ / OQA
  ☆28Updated 4 years ago
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆97Updated 3 years ago
• DingXiaoH / GSM-SGD
  Global Sparse Momentum SGD for pruning very deep neural networks
  ☆44Updated 2 years ago
• CAS-CLab / Training-Tricks-for-Binarized-Neural-Networks
  The collection of training tricks of binarized neural networks.
  ☆72Updated 4 years ago
• EunhyeokPark / PROFIT
  ☆47Updated 3 years ago
• 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
• ricky40403 / DSQ
  pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"
  ☆130Updated 5 years ago
• xu3kev / neural-networks-quantization-notes
  ☆67Updated 5 years ago