195 Open source projects that are alternatives of or similar to beam_search

PyTorch implementation of a 2D-LSTM Seq2Seq Model for NMT.

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

It is a question-generator model. It takes text and an answer as input and outputs a question.

Seq2Seq Chatbot with attention mechanism

a series of tutorials on sequence to sequence learning, implemented with PyTorch.

Implementation of seq2seq word-level model using keras

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly

😋本项目旨在通过Tensorflow基于BiLSTM+CRF实现中文分词、词性标注、命名实体识别（NER）。

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

Sequence-to-Sequence learning using PyTorch

reimplementing Neural Summarization by Extracting Sentences and Words

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

[unmaintained]

Natural Language Processing with TensorFlow, published by Packt

Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com

This repository contains the code for a video captioning system inspired by Sequence to Sequence -- Video to Text. This system takes as input a video and generates a caption in English describing the video.

Auto Segmentation Criterion (ASG) implemented in pytorch

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Implementation of State-of-the-art Text Classification Models in Pytorch

Machine Learning and having it Deep and Structured (MLDS) in 2018 spring

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

A neural network that transforms a design mock-up into a static website.

텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

🤖️ 基于 PyTorch 的任务型聊天机器人（支持私有部署和 docker 部署的 Chatbot）

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

網頁聊天機器人 | tensorflow implementation of seq2seq model with bahdanau attention and Word2Vec pretrained embedding

DELTA is a deep learning based natural language and speech processing platform.

A tensorflow implementation of Fairseq Convolutional Sequence to Sequence Learning(Gehring et al. 2017)

Sorting numbers with pointer networks

seq2seq中文聊天机器人

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Tutorials for TensorFlow APIs the official documentation doesn't cover

PyTorch implementation of batched bi-RNN encoder and attention-decoder.

Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743

An open source framework for seq2seq models in PyTorch.

Pytorch NLP library based on FastAI

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition.

Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq

My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot

2019 Clova AI Hackathon : Speech - Rank 12 / Team Kai.Lib

Basic Seq2Seq, Attention, CopyNet

PyTorch Implementation of NBA game summary generator.

Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)

Statistical NLG for spoken dialogue systems

Exploring Neural Text Simplification

A model to transform english into Cypher queries, based off the CLEVR-graph dataset

Implementation of seq2seq model for Visual Storytelling Challenge (VIST) http://visionandlanguage.net/VIST/index.html

Deep-Learning Model Exploration and Development for NLP

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

Sequence to sequence learning with MXNET

Theano implementation of Sequence-to-Sequence Autoencoder

seq2seq attention tensorflow textrank context

Code for "Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization"

[unmaintained] Make seq2seq for keras work