LightSeq: A High Performance Library for Sequence Processing and Generation
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Updated
May 16, 2023 - C++
LightSeq: A High Performance Library for Sequence Processing and Generation
PyTorch CTC Decoder bindings
A chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
Seq2seq chatbot with attention and anti-language model to suppress generic response, option for further improve by deep reinforcement learning.
Image to LaTeX (Seq2seq + Attention with Beam Search) - Tensorflow
Pytorch seq2seq chatbot
Image Captioning using InceptionV3 and beam search
End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)
Sequence to sequence learning using TensorFlow.
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
基于Pytorch的中文聊天机器人 集成BeamSearch算法
A neural network to generate captions for an image using CNN and RNN with BEAM Search.
Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization" paper and pointer generator network
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
Chinese Poetry Generation
Explains nlp building blocks in a simple manner.
Using LSTM or Transformer to solve Image Captioning in Pytorch
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