Alternatives and similar repositories for QNN:

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

• BertMoons / QuantizedNeuralNetworks-Keras-Tensorflow
  Quantized Neural Networks - networks trained for inference at arbitrary low precision.
  ☆146Updated 7 years ago
• yaysummeriscoming / BinaryNet_and_XNORNet
  Keras implementations of BinaryNet and XNORNet
  ☆55Updated 7 years ago
• microsoft / LQ-Nets
  LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
  ☆242Updated 2 years ago
• Xilinx / graffitist
  Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
  ☆168Updated 5 years ago
• penpaperkeycode / nnq_cnd_study
  nnq_cnd_study stands for Neural Network Quantization & Compact Networks Design Study
  ☆13Updated 4 years ago
• wojciechmo / deep-compression
  Compress neural network with pruning and quantization using TensorFlow.
  ☆106Updated 6 years ago
• synxlin / nn-compression
  A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)
  ☆154Updated 9 months ago
• Mxbonn / INQ-pytorch
  A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"
  ☆167Updated 5 years ago
• itayhubara / BinaryNet.tf
  BNN implementation in tensorflow
  ☆167Updated 6 years ago
• eladhoffer / quantized.pytorch
  ☆213Updated 6 years ago
• Mxbonn / visualwakewords
  Python library to work with the Visual Wake Words Dataset.
  ☆35Updated 4 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 11 months ago
• TianzhongSong / Tensorflow-quantization-test
  Tensorflow quantization (float32-->int8) inference test
  ☆74Updated 6 years ago
• cooooorn / Pytorch-XNOR-Net
  XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.
  ☆86Updated 5 years ago
• TropComplique / trained-ternary-quantization
  Reducing the size of convolutional neural networks
  ☆113Updated 7 years ago
• mostafaelhoushi / DeepShift
  Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298
  ☆111Updated 3 years ago
• hpi-xnor / BMXNet-v2
  BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet
  ☆232Updated 2 years ago
• zepx / pytorch-weight-prune
  Pytorch version for weight pruning for Murata Group's CREST project
  ☆57Updated 7 years ago
• wjc852456 / pytorch-quant
  DL quantization for pytorch
  ☆26Updated 6 years ago
• AojunZhou / Incremental-Network-Quantization
  Caffe Implementation for Incremental network quantization
  ☆192Updated 6 years ago
• larq / zoo
  Reference implementations of popular Binarized Neural Networks
  ☆107Updated last week
• czhu95 / ternarynet
  Implementation for Trained Ternary Network.
  ☆108Updated 8 years ago
• boluoweifenda / WAGE
  Code example for the ICLR 2018 oral paper
  ☆151Updated 6 years ago
• max2ma / shiftNet
  ☆14Updated 5 years ago
• stevenygd / WAGE.pytorch
  Reproduction of WAGE in PyTorch.
  ☆42Updated 6 years ago
• submission2019 / cnn-quantization
  Quantization of Convolutional Neural networks.
  ☆244Updated 8 months ago
• xingyul / sparse-winograd-cnn
  Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)
  ☆190Updated 5 years ago
• wjc852456 / Neural-Networks-on-Silicon
  This is a collection of works on neural networks and neural accelerators.
  ☆40Updated 6 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
• ruihangdu / PyTorch-Deep-Compression
  A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)
  ☆40Updated 6 years ago