Top 32 beam-search open source projects

Explains nlp building blocks in a simple manner.

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

基于Pytorch的中文聊天机器人 集成BeamSearch算法

Tensorflow based Neural Conversation Models

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

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

Blitzing Fast CTC Beam Search Decoder

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

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

LightSeq: A High Performance Inference Library for Sequence Processing and Generation

PyTorch CTC Decoder bindings

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.

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

Pytorch seq2seq chatbot

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

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

Image Captioning using InceptionV3 and beam search

A fast implementation of Neural Image Caption by Chainer

An AI chatbot using seq2seq

Solving and GUI demonstration of traditional N-Queens Problem using Hill Climbing, Simulated Annealing, Local Beam Search, and Genetic Algorithm.

Tensorflow with KenLM integrated for beam search scoring

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

Using LSTM or Transformer to solve Image Captioning in Pytorch

a Deep learning based chatbot implemented by Tensorflow with beam search (forked from Conchylicultor/DeepQA)

A minimal nmt example to serve as an seq2seq+attention reference.

An efficient implementation of RNN-T Prefix Beam Search in C++/CUDA.

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

Generating image captions using Xception Network and Beam Search in Keras

Beam search for neural network sequence to sequence (encoder-decoder) models.