Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.

A chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.

Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow

Pytorch seq2seq chatbot

Sequence to sequence learning using TensorFlow.

Seq2seq chatbot with attention and anti-language model to suppress generic response, option for further improve by deep reinforcement learning.

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization" paper and pointer generator network

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

基于Pytorch的中文聊天机器人 集成BeamSearch算法

Tensorflow based Neural Conversation Models

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

A fast LSTM Language Model for large vocabulary language like Japanese and Chinese

Using LSTM or Transformer to solve Image Captioning in Pytorch

My seq2seq based on tensorflow

Neutron: A pytorch based implementation of Transformer and its variants.

PyTorch implementation for Seq2Seq model with attention and Greedy Search / Beam Search for neural machine translation

A lightweight implementation of Beam Search for sequence models in PyTorch.

Extremely easy to use sequence to sequence library with attention, for text to text conversion tasks.