Alternatives and similar repositories for WAGE

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

• eladhoffer / quantized.pytorch
  ☆214Updated 6 years ago
• stevenygd / WAGE.pytorch
  Reproduction of WAGE in PyTorch.
  ☆44Updated 6 years ago
• microsoft / LQ-Nets
  LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
  ☆242Updated 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 6 years ago
• TropComplique / trained-ternary-quantization
  Reducing the size of convolutional neural networks
  ☆111Updated 7 years ago
• xingyul / sparse-winograd-cnn
  Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)
  ☆193Updated 6 years ago
• fengfu-chris / caffe-twns
  Implementation of Ternary Weight Networks In Caffe
  ☆63Updated 8 years ago
• AojunZhou / Incremental-Network-Quantization
  Caffe Implementation for Incremental network quantization
  ☆191Updated 7 years ago
• cornell-zhang / dnn-quant-ocs
  DNN quantization with outlier channel splitting
  ☆113Updated 5 years ago
• czhu95 / ternarynet
  Implementation for Trained Ternary Network.
  ☆107Updated 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
• antspy / quantized_distillation
  Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"
  ☆336Updated last year
• AngusG / tensorflow-xnor-bnn
  BinaryNets in TensorFlow with XNOR GEMM op
  ☆156Updated 8 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
• yiwenguo / Dynamic-Network-Surgery
  Caffe implementation for dynamic network surgery.
  ☆187Updated 8 years ago
• submission2019 / cnn-quantization
  Quantization of Convolutional Neural networks.
  ☆245Updated last year
• caiwenpu / Compression_Paper
  ☆46Updated 6 years ago
• itayhubara / BinaryNet.tf
  BNN implementation in tensorflow
  ☆167Updated 7 years 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
• hpi-xnor / BMXNet-v2
  BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet
  ☆232Updated 3 years ago
• jiecaoyu / XNOR-Net-PyTorch
  PyTorch Implementation of XNOR-Net
  ☆496Updated 2 years ago
• XJTUWYD / DoReFa_Cifar10
  implement of DoReFaNet with tensorflow based on cifar10 dataset
  ☆29Updated 7 years ago
• cooooorn / Pytorch-XNOR-Net
  XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.
  ☆86Updated 6 years ago
• kaiqzhan / admm-pruning
  Prune DNN using Alternating Direction Method of Multipliers (ADMM)
  ☆109Updated 4 years ago
• Xilinx / graffitist
  Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow
  ☆168Updated 5 years ago
• mit-han-lab / amc-models
  [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
  ☆168Updated 4 years ago
• wenwei202 / caffe
  Caffe for Sparse and Low-rank Deep Neural Networks
  ☆381Updated 5 years ago
• csyhhu / L-OBS
  Codes for Layer-wise Optimal Brain Surgeon
  ☆78Updated 6 years ago
• aliyun / alibabacloud-quantization-networks
  alibabacloud-quantization-networks
  ☆122Updated 5 years ago