Alternatives and similar repositories for Model-Compression-Acceleration

Users that are interested in Model-Compression-Acceleration are comparing it to the libraries listed below

• Enderdead / Pytorch_Quantize_impls
  Some recent Quantizing techniques on PyTorch
  ☆72Updated 6 years ago
• jack-willturner / batchnorm-pruning
  Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124
  ☆72Updated 7 years ago
• TuSimple / sparse-structure-selection
  ☆88Updated 7 years ago
• babajide07 / Redundant-Feature-Pruning-Pytorch-Implementation
  ☆15Updated 5 years ago
• Roll920 / ThiNet_Code
  Caffe implementation of ICCV 2017 & TPAMI 2018 paper - ThiNet
  ☆46Updated 7 years ago
• szagoruyko / binary-wide-resnet
  PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)
  ☆126Updated 7 years ago
• layog / Accurate-Binary-Convolution-Network
  Binary Convolution Network for faster real-time processing in ASICs
  ☆57Updated 7 years ago
• ruotianluo / pytorch-mobilenet-from-tf
  Mobilenet model converted from tensorflow
  ☆48Updated 7 years ago
• megvii-model / MetaPruning
  ☆45Updated 6 years ago
• AojunZhou / Efficient-Deep-Learning
  Related Paper of Efficient Deep Neural Networks
  ☆86Updated 4 years ago
• bobye / batchnorm_prune
  Tensorflow codes for "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"
  ☆30Updated 6 years ago
• Shengcao-Cao / ESNAC
  Learnable Embedding Space for Efficient Neural Architecture Compression
  ☆29Updated 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 6 years ago
• McDonnell-Research-Lab / 1-bit-per-weight
  Training wide residual networks for deployment using a single bit for each weight - Official Code Repository for ICLR 2018 Published Pape…
  ☆36Updated 5 years ago
• gudovskiy / ShiftCNN
  A script to convert floating-point CNN models into generalized low-precision ShiftCNN representation
  ☆56Updated 8 years ago
• hpnair / 18663_Project_FBNet
  Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)
  ☆34Updated 6 years ago
• madoibito80 / NetAdapt
  Implementation of NetAdapt
  ☆30Updated 5 years ago
• SHI-Labs / GFR-DSOD
  Improving Object Detection from Scratch via Gated Feature Reuse (BMVC 2019)
  ☆65Updated 5 years ago
• agoncharenko1992 / FAT-fast-adjustable-threshold
  This is th code to FAT method with links to quantized tflite models. (CC BY-NC-ND)
  ☆19Updated 6 years ago
• andyhahaha / Convolutional-Neural-Network-Compression-Survey
  ☆34Updated 8 years ago
• TuSimple / neuron-selectivity-transfer
  ☆137Updated 7 years ago
• ChanganVR / ConstraintAwareCompression
  [ECCV18] Constraint-Aware Deep Neural Network Compression
  ☆12Updated 7 years ago
• chengtaipu / lowrankcnn
  Low-rank convolutional neural networks
  ☆98Updated 9 years ago
• simochen / model-tools
  Tools for computing model parameters and FLOPs.
  ☆88Updated 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 7 years ago
• d-li14 / HBONet
  [ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions, surpassing MobileNetV2
  ☆101Updated 5 years ago
• dongyp13 / Stochastic-Quantization
  Training Low-bits DNNs with Stochastic Quantization
  ☆74Updated 8 years ago
• skmhrk1209 / Single-Path-NAS-PyTorch
  PyTorch implementation of "Single-Path NAS: Device-Aware Efficient ConvNet Design"
  ☆37Updated 3 years ago
• HongyangGao / ChannelNets
  Tensorflow Implementation of ChannelNets (NeurIPS 18)
  ☆76Updated 6 years ago
• fpeder / espresso
  Efficient forward propagation for BCNNs
  ☆49Updated 8 years ago