Alternatives and similar repositories for WAGE

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

• eladhoffer / quantized.pytorch
  ☆213Updated 6 years ago
• czhu95 / ternarynet
  Implementation for Trained Ternary Network.
  ☆107Updated 8 years ago
• AojunZhou / Incremental-Network-Quantization
  Caffe Implementation for Incremental network quantization
  ☆192Updated 6 years ago
• cornell-zhang / dnn-quant-ocs
  DNN quantization with outlier channel splitting
  ☆113Updated 5 years ago
• microsoft / LQ-Nets
  LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
  ☆242Updated 2 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
• fengfu-chris / caffe-twns
  Implementation of Ternary Weight Networks In Caffe
  ☆63Updated 8 years ago
• deep-fry / mayo
  Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.
  ☆115Updated 5 years ago
• stevenygd / WAGE.pytorch
  Reproduction of WAGE in PyTorch.
  ☆44Updated 6 years ago
• hpi-xnor / BMXNet-v2
  BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet
  ☆231Updated 3 years ago
• TropComplique / trained-ternary-quantization
  Reducing the size of convolutional neural networks
  ☆112Updated 7 years ago
• Mxbonn / INQ-pytorch
  A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"
  ☆167Updated 5 years ago
• zhaoweicai / hwgq
  Caffe implementation of accurate low-precision neural networks
  ☆117Updated 6 years ago
• xingyul / sparse-winograd-cnn
  Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)
  ☆191Updated 6 years ago
• AngusG / tensorflow-xnor-bnn
  BinaryNets in TensorFlow with XNOR GEMM op
  ☆156Updated 7 years ago
• submission2019 / cnn-quantization
  Quantization of Convolutional Neural networks.
  ☆244Updated 10 months ago
• liuzechun / Bi-Real-net
  Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…
  ☆186Updated 4 years ago
• caiwenpu / Compression_Paper
  ☆46Updated 5 years ago
• XJTUWYD / DoReFa_Cifar10
  implement of DoReFaNet with tensorflow based on cifar10 dataset
  ☆29Updated 7 years ago
• kaiqzhan / admm-pruning
  Prune DNN using Alternating Direction Method of Multipliers (ADMM)
  ☆108Updated 4 years ago
• Xilinx / graffitist
  Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
  ☆168Updated 5 years ago
• antspy / quantized_distillation
  Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"
  ☆335Updated 10 months ago
• yiwenguo / Dynamic-Network-Surgery
  Caffe implementation for dynamic network surgery.
  ☆187Updated 7 years ago
• mit-han-lab / amc-models
  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
  ☆167Updated 4 years ago
• mit-han-lab / apq
  [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
  ☆158Updated 5 years ago
• mil-ad / studying-binary-neural-networks
  ☆52Updated 6 years ago
• Roll920 / ThiNet
  caffe model of ICCV'17 paper - ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression https://arxiv.org/abs/1707.06342
  ☆147Updated 6 years ago
• xu3kev / neural-networks-quantization-notes
  ☆67Updated 5 years ago
• itayhubara / BinaryNet.tf
  BNN implementation in tensorflow
  ☆167Updated 7 years ago
• dongyp13 / Stochastic-Quantization
  Training Low-bits DNNs with Stochastic Quantization
  ☆74Updated 7 years ago