Alternatives and similar repositories for iss-rnns

Users that are interested in iss-rnns are comparing it to the libraries listed below

• qinyao-he / bit-rnn
  Quantize weights and activations in Recurrent Neural Networks.
  ☆94Updated 7 years ago
• houlu369 / Loss-aware-Binarization
  Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"
  ☆18Updated 6 years ago
• houlu369 / Loss-aware-weight-quantization
  Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"
  ☆26Updated 5 years ago
• TropComplique / trained-ternary-quantization
  Reducing the size of convolutional neural networks
  ☆111Updated 7 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
• TomVeniat / SANAS
  Stochastic Adaptive Neural Architecture Search
  ☆65Updated 6 years ago
• czhu95 / ternarynet
  Implementation for Trained Ternary Network.
  ☆107Updated 8 years ago
• houlu369 / Normalized-Quantized-LSTM
  Implementation of NeurIPS 2019 paper "Normalization Helps Training of Quantized LSTM"
  ☆31Updated last year
• ottj / QuantizedRNN
  Recurrent Neural Networks With Limited Numerical Precision
  ☆11Updated 8 years ago
• holyseven / TransferLearningClassification
  Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018…
  ☆56Updated 7 years ago
• lifeiteng / FasterDNN
  Faster Deep Neural Networks
  ☆37Updated 8 years ago
• tipt0p / SparseBayesianRNN
  ☆16Updated 6 years ago
• alexfjw / prunnable-layers-pytorch
  Prunable nn layers for pytorch.
  ☆48Updated 7 years ago
• MatthieuCourbariaux / deep-learning-multipliers
  Training deep neural networks with low precision multiplications
  ☆64Updated 10 years ago
• KarenUllrich / Tutorial-SoftWeightSharingForNNCompression
  A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017
  ☆145Updated 8 years ago
• Tuyki / TT_RNN
  ☆102Updated 7 years ago
• cc-hpc-itwm / TensorQuant
  ☆47Updated 5 years ago
• thuyen / signal
  Signal Processing Library for PyTorch
  ☆39Updated 8 years ago
• taki0112 / AMSGrad-Tensorflow
  Simple Tensorflow implementation of "On the Convergence of Adam and Beyond" (ICLR 2018)
  ☆104Updated 6 years ago
• KarenUllrich / Tutorial_BayesianCompressionForDL
  A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
  ☆206Updated 6 years ago
• dongyp13 / Stochastic-Quantization
  Training Low-bits DNNs with Stochastic Quantization
  ☆74Updated 8 years ago
• DingKe / BinaryNet
  Binarized Dense and Conv2D layers for Keras
  ☆17Updated 8 years ago
• BayesWatch / pytorch-prunes
  Code for https://arxiv.org/abs/1810.04622
  ☆140Updated 6 years ago
• odie2630463 / WaveNet
  Pytorch implement WaveNet
  ☆93Updated 7 years ago
• jnjaby / Model-Compression-Acceleration
  Paper list on model compression and acceleration
  ☆26Updated 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
• fpeder / espresso
  Efficient forward propagation for BCNNs
  ☆49Updated 8 years ago
• younghwanoh / impl-pruning-TF
  Implementation of "Iterative pruning" on TensorFlow
  ☆160Updated 4 years ago
• musyoku / chainer-sru
  Training RNNs as Fast as CNNs (Simple Recurrent Unit)
  ☆31Updated 7 years ago
• han-cai / PathLevel-EAS
  Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.
  ☆112Updated 7 years ago