fpeder / espresso

Related projects ⓘ

Alternatives and complementary repositories for espresso

• zhaoweicai / hwgq
  Caffe implementation of accurate low-precision neural networks
  ☆118Updated 6 years ago
• fengfu-chris / caffe-twns
  Implementation of Ternary Weight Networks In Caffe
  ☆63Updated 7 years ago
• dongyp13 / Stochastic-Quantization
  Training Low-bits DNNs with Stochastic Quantization
  ☆73Updated 7 years ago
• czhu95 / ternarynet
  Implementation for Trained Ternary Network.
  ☆108Updated 7 years ago
• gudovskiy / ShiftCNN
  A script to convert floating-point CNN models into generalized low-precision ShiftCNN representation
  ☆55Updated 7 years ago
• jonathanmarek1 / binarynet-tensorflow
  ☆63Updated 6 years ago
• julianfaraone / SYQ
  This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…
  ☆32Updated 5 years ago
• hukim93 / BWN-XNOR-caffe
  Binary Weight Network and XNOR Network.
  ☆63Updated 8 years ago
• AngusG / tensorflow-xnor-bnn
  BinaryNets in TensorFlow with XNOR GEMM op
  ☆155Updated 7 years ago
• zhengwy888 / binary_ops
  ☆23Updated 8 years ago
• AojunZhou / Incremental-Network-Quantization
  Caffe Implementation for Incremental network quantization
  ☆191Updated 6 years ago
• MatthieuCourbariaux / deep-learning-multipliers
  Training deep neural networks with low precision multiplications
  ☆63Updated 9 years ago
• LsNatan / NICE
  This code implements NICE papper
  ☆21Updated 6 years ago
• AojunZhou / Efficient-Deep-Learning
  Related Paper of Efficient Deep Neural Networks
  ☆86Updated 3 years ago
• luhaofang / CACU
  This is a deep learning framework for cnn which using xnor method to accelerate calculating convolution layer on cpu.
  ☆88Updated 7 years ago
• songhan / SqueezeNet-Generator
  SqueezeNet Generator
  ☆32Updated 6 years ago
• cc-hpc-itwm / TensorQuant
  ☆47Updated 4 years ago
• szagoruyko / binary-wide-resnet
  PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)
  ☆124Updated 6 years ago
• MatthieuCourbariaux / 8-bit-deep-learning
  Training neural networks with 8-bit computations
  ☆29Updated 8 years ago
• yiwenguo / Dynamic-Network-Surgery
  Caffe implementation for dynamic network surgery.
  ☆186Updated 7 years ago
• andyhahaha / Convolutional-Neural-Network-Compression-Survey
  ☆33Updated 7 years ago
• gstaff / tfzip
  An experimental compression pipeline for TensorFlow.
  ☆27Updated 8 years ago
• younghwanoh / impl-pruning-caffemodel
  Simple pruning example using Caffe
  ☆33Updated 7 years ago
• songhan / SqueezeNet-DSD-Training
  ☆58Updated 6 years ago
• boluoweifenda / WAGE
  Code example for the ICLR 2018 oral paper
  ☆149Updated 6 years ago
• CAS-CLab / quantized-cnn
  An efficient framework for convolutional neural networks
  ☆275Updated last year
• gplhegde / theano-xnor-net
  Theano implementation of XNOR-Net
  ☆23Updated 7 years ago
• EunhyeokPark / script_for_WQ
  ☆13Updated 7 years ago
• xu3kev / neural-networks-quantization-notes
  ☆66Updated 5 years ago
• HongxingGao / XNOR-Net
  XNOR-Net, CUDNN5 supported version of XNOR-Net-caffe: https://github.com/loswensiana/BWN-XNOR-caffe
  ☆31Updated 6 years ago