Alternatives and similar repositories for ctc_beamsearch

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

• lifeiteng / FasterDNN
  Faster Deep Neural Networks
  ☆37Updated 7 years ago
• ryanleary / ctcdecode
  PyTorch CTC Decoder bindings
  ☆42Updated 7 years ago
• mkolod / mxnet_seq2seq
  Simple MXNet sequence-to-sequence model (neural machine translation)
  ☆24Updated 7 years ago
• tam17aki / zoneout-tensorflow
  An implementation of zoneout regularizer on LSTM-RNN by Tensorflow
  ☆24Updated 8 years ago
• t-vi / warp-ctc
  PyTorch bindings for Warp-CTC
  ☆43Updated 5 years ago
• c0nn3r / pytorch_highway_networks
  Highway networks implemented in PyTorch.
  ☆55Updated 8 years ago
• musyoku / chainer-sru
  Training RNNs as Fast as CNNs (Simple Recurrent Unit)
  ☆30Updated 7 years ago
• musyoku / chainer-gram-ctc
  ☆12Updated 7 years ago
• kefirski / bytenet
  Pytorch implementation of bytenet from "Neural Machine Translation in Linear Time" paper
  ☆46Updated 7 years ago
• ycemsubakan / diagonal_rnns
  This is the code used in the paper "Diagonal RNNs in Symbolic Music Modeling"
  ☆17Updated 8 years ago
• shawntan / theano-ctc
  CTC implementation in Theano.
  ☆42Updated 9 years ago
• naxingyu / lstm-rnn
  Portal of Johannes and Felix's RNN implementation and further modifications for ASR
  ☆21Updated 10 years ago
• KGPML / KGP-ASR
  End-to-end deep learned Automatic Speech Recognition system
  ☆8Updated 8 years ago
• louiskirsch / tensorflow-with-kenlm
  Tensorflow with KenLM integrated for beam search scoring
  ☆34Updated 7 years ago
• t-vi / pytorch
  Tensors and Dynamic neural networks in Python with strong GPU acceleration
  ☆17Updated last year
• gaohuang / DenseNet_lite
  A more memory efficient Torch implementation of "Densely Connected Convolutional Networks".
  ☆29Updated 8 years ago
• se4u / neural_wfst
  Code for the paper 'Weighting Finite State Transductions with Neural Context', Pushpendre Rastogi, Ryan Cotterell, Jason Eisner
  ☆28Updated 6 years ago
• che-shr-cat / currennt
  CURRENNT -- CUDA-enabled machine learning library for recurrent neural network
  ☆16Updated 5 years ago
• JonathanRaiman / tensorflow_qrnn
  Quasi-Recurrent Neural Network (QRNN) for Tensorflow
  ☆23Updated 6 years ago
• ebetica / autogradpp
  Direct C++ Interface to PyTorch
  ☆81Updated 7 years ago
• meierue / RNNLIB
  A recurrent neural network library for sequence learning problems.
  ☆45Updated 9 years ago
• zzw922cn / TensorFlow-Input-Pipeline
  TensorFlow Input Pipeline Examples based on multi-thread and FIFOQueue
  ☆52Updated 7 years ago
• JACKHAHA363 / VQVAE
  a replicate of https://arxiv.org/pdf/1711.00937.pdf
  ☆16Updated 7 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆59Updated 7 years ago
• YisenWang / LightRNN-NIPS2016-Tensorflow_code
  The tensorflow implementation of NIPS2016 paper "LightRNN: Memory and Computation-Efficient Recurrent Neural Networks" (https://arxiv.org…
  ☆56Updated 8 years ago
• sudeepraja / BLSTM-for-supervised-sequence-recognition
  General Purpose Implementation of LSTM extended from OCROPUS to recognize any sequential data
  ☆28Updated 10 years ago
• desire2020 / SRU-tensorflow
  Training RNNs as fast as CNNs. An unofficial tensorflow implementation.
  ☆32Updated 7 years ago
• edward-zhu / umaru
  An OCR-system based on torch using the technique of LSTM/GRU-RNN, CTC and referred to the works of rnnlib and clstm.
  ☆66Updated 9 years ago
• Dutil / PAG
  Plan, Attend, Generate: Planning for Sequence-to-Sequence Models
  ☆10Updated 7 years ago
• abhishek-kumar / NNForMLL
  Neural Network Models for Multi-label learning
  ☆17Updated 4 years ago