There are 59 repositories under natural-language-understanding topic.
TensorFlow code and pre-trained models for BERT
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)
An Open-Source Framework for Prompt-Learning.
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
This Word Does Not Exist
This repo contains implementation of different architectures for emotion recognition in conversations.
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
:helicopter: 保险行业语料库,聊天机器人
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media
🤗 AutoNLP: train state-of-the-art natural language processing models and deploy them in a scalable environment automatically
A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)
1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
An open platform for artificial intelligence, chat bots, virtual agents, social media automation, and live chat automation.
CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
Language, Knowledge, Cognition
Compendium of the resources available from top NLP conferences.
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.
Sequence to sequence learning using TensorFlow.
API of Articut 中文斷詞 (兼具語意詞性標記):「斷詞」又稱「分詞」,是中文資訊處理的基礎。Articut 不用機器學習,不需資料模型,只用現代白話中文語法規則,即能達到 SIGHAN 2005 F1-measure 94% 以上,Recall 96% 以上的成績。
A curated list of resources dedicated to Natural Language Generation (NLG)
Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
NLP library designed for reproducible experimentation management