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Updated
Jul 28, 2020 - Python
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 built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
Natural Language Processing Best Practices & Examples
A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)
SLING - A natural language frame semantics parser
Multi-Task Deep Neural Networks for Natural Language Understanding
State of the Art Natural Language Processing
OpenData in insurance area for Machine Learning Tasks, 保险行业语料库
This Word Does Not Exist
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
This repo contains implementation of different architectures for emotion recognition in conversations.
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
Sequence to sequence learning using TensorFlow.
An open platform for artificial intelligence, chat bots, virtual agents, social media automation, and live chat automation.
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
Named Entity Recognition
Language, Knowledge, Cognition
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.
Neural Models for Conversational AI
A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.
Ruby SDK for Dialogflow
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