Rasa Core is now part of the Rasa repo: An open source machine learning framework to automate text-and voice-based conversations

Learning to Rank in TensorFlow

An open source library for deep learning end-to-end dialog systems and chatbots.

This toolkit was designed for the fast and efficient development of modern machine comprehension models, including both published models and original prototypes.

User Simulation for Task-Completion Dialogues

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

A natural language modeling framework based on PyTorch

Tensorflow Implementation of R-Net

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

基于capsule的观点型阅读理解模型

Models, data loaders and abstractions for language processing, powered by PyTorch

Must-read papers on Machine Reading Comprehension

question answering, reading comprehension toolkit

AI Challenger, a platform for open datasets and programming competitions to artificial intelligence (AI) talents around the world. https://challenger.ai/

An open-source NLP research library, built on PyTorch.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

The fastai deep learning library

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

Deep learning models trained to correct input errors in short, message-like text

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

An open source framework for seq2seq models in PyTorch.

An Open-Source Package for Neural Relation Extraction (NRE)

Code and dataset for ACL2018 paper "Exploiting Document Knowledge for Aspect-level Sentiment Classification"

This repo contains our ACL 2017 paper data and source code

The implementation of key value memory networks in tensorflow

A Benchmark of Text Classification in PyTorch

A script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.

从无到有构建一个电影知识图谱，并基于该KG，开发一个简易的KBQA程序。

An Open-Source Package for Knowledge Embedding (KE)

A python implementation of the Rapid Automatic Keyword Extraction