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.
  ☆95Updated 7 years ago
• wenwei202 / iss-rnns
  Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)
  ☆74Updated 5 years ago
• MatthieuCourbariaux / deep-learning-multipliers
  Training deep neural networks with low precision multiplications
  ☆64Updated 10 years ago
• hantek / BinaryConnect
  Source code for ``Neural Networks with Few Multiplications'' published at ICLR 2016
  ☆80Updated 9 years ago
• MatthieuCourbariaux / BinaryConnect
  Training Deep Neural Networks with binary weights during propagations
  ☆381Updated 9 years ago
• czhu95 / ternarynet
  Implementation for Trained Ternary Network.
  ☆108Updated 8 years ago
• cc-hpc-itwm / TensorQuant
  ☆47Updated 5 years ago
• itayhubara / BinaryNet
  Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
  ☆307Updated 4 years ago
• younghwanoh / impl-pruning-TF
  Implementation of "Iterative pruning" on TensorFlow
  ☆160Updated 4 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.
  ☆99Updated 7 years ago
• musyoku / chainer-sru
  Training RNNs as Fast as CNNs (Simple Recurrent Unit)
  ☆31Updated 8 years ago
• Orion34-lanbo / tvm-batch-matmul-example
  ☆24Updated 7 years ago
• maltanar / gemmbitserial
  Fast matrix multiplication for few-bit integer matrices on CPUs.
  ☆28Updated 6 years ago
• lifeiteng / FasterDNN
  Faster Deep Neural Networks
  ☆37Updated 8 years ago
• hessamb / lcnn
  LCNN: Lookup-based Convolutional Neural Network
  ☆52Updated 8 years ago
• houlu369 / Loss-aware-Binarization
  Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"
  ☆20Updated 6 years ago
• stefbraun / rnn_benchmarks
  RNN benchmarks of pytorch, tensorflow and theano
  ☆89Updated 7 years ago
• dongyp13 / Stochastic-Quantization
  Training Low-bits DNNs with Stochastic Quantization
  ☆74Updated 8 years ago
• desire2020 / SRU-tensorflow
  Training RNNs as fast as CNNs. An unofficial tensorflow implementation.
  ☆33Updated 7 years ago
• fengfu-chris / caffe-twns
  Implementation of Ternary Weight Networks In Caffe
  ☆63Updated 9 years ago
• timgaripov / TensorNet-TF
  TensorNet (TensorFlow implementation)
  ☆213Updated 8 years ago
• akimach / tensorflow-distillation-examples
  Knowledge distillation implemented in TensorFlow
  ☆18Updated 8 years ago
• ahmetaa / fast-dnn
  A fast deep neural network library (CPU) for speech recognition
  ☆86Updated 6 years ago
• HawkAaron / mxnet-transducer
  Fast parallel RNN-Transducer.
  ☆10Updated 6 years ago
• cuMF / cumf_sgd
  CUDA Matrix Factorization Library with Stochastic Gradient Descent (SGD)
  ☆71Updated 7 years ago
• lancopku / meProp
  meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)
  ☆110Updated 3 years ago
• DingKe / BinaryNet
  Binarized Dense and Conv2D layers for Keras
  ☆17Updated 8 years ago
• tipt0p / SparseBayesianRNN
  ☆16Updated 6 years ago
• okuchaiev / f-lm
  Language Modeling
  ☆158Updated 6 years ago
• masahi / tvm-winograd
  Test winograd convolution written in TVM for CUDA and AMDGPU
  ☆41Updated 7 years ago