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LightSeq: A High Performance Library for Sequence Processing and Generation
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
Image Captioning using InceptionV3 and beam search
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.
Explains nlp building blocks in a simple manner.
Tensorflow based Neural Conversation Models
Blitzing Fast CTC Beam Search Decoder
Chinese Poetry Generation
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