Alternatives and similar repositories for QuantizedRNN:

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

• qinyao-he / bit-rnn
  Quantize weights and activations in Recurrent Neural Networks.
  ☆94Updated 6 years ago
• wenwei202 / iss-rnns
  Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)
  ☆74Updated 4 years ago
• MatthieuCourbariaux / deep-learning-multipliers
  Training deep neural networks with low precision multiplications
  ☆63Updated 9 years ago
• czhu95 / ternarynet
  Implementation for Trained Ternary Network.
  ☆108Updated 8 years ago
• houlu369 / Loss-aware-weight-quantization
  Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"
  ☆26Updated 5 years ago
• hantek / BinaryConnect
  Source code for ``Neural Networks with Few Multiplications'' published at ICLR 2016
  ☆81Updated 8 years ago
• fengfu-chris / caffe-twns
  Implementation of Ternary Weight Networks In Caffe
  ☆62Updated 8 years ago
• cc-hpc-itwm / TensorQuant
  ☆47Updated 4 years ago
• dongyp13 / Stochastic-Quantization
  Training Low-bits DNNs with Stochastic Quantization
  ☆73Updated 7 years ago
• musyoku / chainer-sru
  Training RNNs as Fast as CNNs (Simple Recurrent Unit)
  ☆30Updated 7 years ago
• houlu369 / Loss-aware-Binarization
  Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"
  ☆18Updated 5 years ago
• younghwanoh / impl-pruning-TF
  Implementation of "Iterative pruning" on TensorFlow
  ☆160Updated 3 years ago
• AngusG / tensorflow-xnor-bnn
  BinaryNets in TensorFlow with XNOR GEMM op
  ☆155Updated 7 years ago
• gudovskiy / ShiftCNN
  A script to convert floating-point CNN models into generalized low-precision ShiftCNN representation
  ☆56Updated 7 years ago
• zhaoweicai / hwgq
  Caffe implementation of accurate low-precision neural networks
  ☆117Updated 6 years ago
• yangsaiyong / tf-adaptive-softmax-lstm-lm
  The experiment result of LSTM language models on PTB (Penn Treebank) and GBW (Google Billion Word) using AdaptiveSoftmax on TensorFlow.
  ☆100Updated 6 years ago
• yiwenguo / Dynamic-Network-Surgery
  Caffe implementation for dynamic network surgery.
  ☆186Updated 7 years ago
• TropComplique / trained-ternary-quantization
  Reducing the size of convolutional neural networks
  ☆114Updated 7 years ago
• DingKe / BinaryNet
  Binarized Dense and Conv2D layers for Keras
  ☆17Updated 7 years ago
• lifeiteng / FasterDNN
  Faster Deep Neural Networks
  ☆36Updated 7 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
• nephashi / DeepCompression
  implementation of Iterative Pruning for Deep neural network [Han2015].
  ☆40Updated 6 years ago
• hessamb / lcnn
  LCNN: Lookup-based Convolutional Neural Network
  ☆52Updated 7 years ago
• CAS-CLab / quantized-cnn
  An efficient framework for convolutional neural networks
  ☆274Updated last year
• maltanar / gemmbitserial
  Fast matrix multiplication for few-bit integer matrices on CPUs.
  ☆27Updated 5 years ago
• stefbraun / rnn_benchmarks
  RNN benchmarks of pytorch, tensorflow and theano
  ☆89Updated 6 years ago
• XJTUWYD / DoReFa_Cifar10
  implement of DoReFaNet with tensorflow based on cifar10 dataset
  ☆29Updated 7 years ago
• zhuwenxi / pytorch-profiling-tool
  ☆53Updated 6 years ago
• lancopku / meProp
  meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)
  ☆110Updated 2 years ago
• houlu369 / Normalized-Quantized-LSTM
  Implementation of NeurIPS 2019 paper "Normalization Helps Training of Quantized LSTM"
  ☆30Updated 6 months ago