TensorFlow code and pre-trained models for BERT

Mapping a variable-length sentence to a fixed-length vector using BERT model

Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.

Natural Language Processing Best Practices & Examples

💥Fast State-of-the-Art Tokenizers optimized for Research and Production

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

SLING - A natural language frame semantics parser

State of the Art Natural Language Processing

Multi-Task Deep Neural Networks for Natural Language Understanding

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

🚁 保险行业语料库，聊天机器人

This Word Does Not Exist

This repo contains implementation of different architectures for emotion recognition in conversations.

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

基于自然语言理解与机器学习的聊天机器人，支持多用户并发及自定义多轮对话

An open platform for artificial intelligence, chat bots, virtual agents, social media automation, and live chat automation.

Sequence to sequence learning using TensorFlow.

On-device speech-to-intent engine powered by deep learning

Compendium of the resources available from top NLP conferences.

NLP library designed for reproducible experimentation management

🏇 聊天机器人，自然语言理解

Named Entity Recognition

Language, Knowledge, Cognition

A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.

Chainer implementation of "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding"

IssuesにNLP（自然言語処理）に関連するの論文を読んだまとめを書いています．雑です．🚧 マークは編集中の論文です（事実上放置のものも多いです）．🍡 マークは概要のみ書いてます（早く見れる的な意味で団子）．