Alternatives and similar repositories for Loss-aware-Binarization

Users that are interested in Loss-aware-Binarization are comparing it to the libraries listed below

• houlu369 / Loss-aware-weight-quantization
  Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"
  ☆26Updated 5 years ago
• csyhhu / Co-Prune
  Codes for accepted paper "Cooperative Pruning in Cross-Domain Deep Neural Network Compression" in IJCAI 2019.
  ☆12Updated 5 years ago
• stevenygd / SWALP
  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
  ☆62Updated 6 years ago
• wenwei202 / iss-rnns
  Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)
  ☆74Updated 4 years ago
• han-cai / PathLevel-EAS
  Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.
  ☆112Updated 7 years ago
• AnonymousMetaLearn / Towards-benchmarking-and-dissecting-one-shot-neural-architecture-search
  ☆18Updated 5 years ago
• yuhuixu1993 / WLQ
  caffe implementation of single level quantization
  ☆19Updated 6 years ago
• holyseven / TransferLearningClassification
  Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018…
  ☆56Updated 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
• 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
• qinyao-he / bit-rnn
  Quantize weights and activations in Recurrent Neural Networks.
  ☆94Updated 6 years ago
• lancopku / meProp
  meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)
  ☆110Updated 3 years ago
• czhu95 / ternarynet
  Implementation for Trained Ternary Network.
  ☆107Updated 8 years ago
• allenbai01 / ProxQuant
  ProxQuant: Quantized Neural Networks via Proximal Operators
  ☆29Updated 6 years ago
• csyhhu / L-DNQ
  Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data
  ☆41Updated 6 years ago
• houlu369 / Normalized-Quantized-LSTM
  Implementation of NeurIPS 2019 paper "Normalization Helps Training of Quantized LSTM"
  ☆31Updated 11 months ago
• bhheo / AB_distillation
  Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)
  ☆105Updated 5 years ago
• zhuohan123 / g2-lstm
  Codes for "Towards Binary-Valued Gates for Robust LSTM Training".
  ☆76Updated 6 years ago
• yuhuixu1993 / Trained-Rank-Pruning
  Pytorch implementation of TRP
  ☆45Updated 4 years ago
• uclaml / Padam
  Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …
  ☆39Updated 2 years ago
• csyhhu / MetaQuant
  Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019
  ☆54Updated 5 years ago
• gaosh / Structured-Bayesian-Pruning-pytorch
  pytorch implementation of Structured Bayesian Pruning
  ☆19Updated 6 years ago
• TropComplique / trained-ternary-quantization
  Reducing the size of convolutional neural networks
  ☆112Updated 7 years ago
• csyhhu / L-OBS
  Codes for Layer-wise Optimal Brain Surgeon
  ☆78Updated 6 years ago
• slowbull / DDG
  A PyTorch implementation of the paper "Decoupled Parallel Backpropagation with Convergence Guarantee"
  ☆29Updated 6 years ago
• layog / Accurate-Binary-Convolution-Network
  Binary Convolution Network for faster real-time processing in ASICs
  ☆56Updated 7 years ago
• bobye / batchnorm_prune
  Tensorflow codes for "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"
  ☆30Updated 5 years ago
• XJTUWYD / DoReFa_Cifar10
  implement of DoReFaNet with tensorflow based on cifar10 dataset
  ☆29Updated 7 years ago
• anubhavashok / N2N
  ☆55Updated 6 years ago
• irapha / replayed_distillation
  Implementation of Data-free Knowledge Distillation for Deep Neural Networks (on arxiv!)
  ☆81Updated 7 years ago