natural-language-processing
Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
Repositories (1450)
BertViz: Visualize Attention in Transformer Models
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
An open-source online reverse dictionary.
Reading list for research topics in multimodal machine learning
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML
🎓 Sharing machine learning course / lecture notes.
Mycroft Core, the Mycroft Artificial Intelligence platform.
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. It features AI personas, AGI functions, multi-model chats, text-t...
A curated list of awesome self-supervised methods
Natural Language Processing Best Practices & Examples
AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）
:pencil: A markup-aware linter for prose built with speed and extensibility in mind.
:alarm_clock: AI conference deadline countdowns
Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understan...
🚀 Efficient implementations for emerging model architectures
A large-scale 7B pretraining language model developed by BaiChuan-Inc.
Language Technology Platform
🏝️ OASIS: Open Agent Social Interaction Simulations with One Million Agents.
This repository is a compilation of free resources for learning Data Science.
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
Ecommerce Search and Discovery - marqo.ai
🌟100+ 原创 LLM / RL 原理图📚，《大模型算法》作者巨献！💥（100+ LLM/RL Algorithm Maps ）
【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶...
A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.
An Open-Source Framework for Prompt-Learning.
extract text from any document. no muss. no fuss.
Data augmentation for NLP
🤗 AutoTrain Advanced
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
《大语言模型》作者：赵鑫，李军毅，周昆，唐天一，文继荣
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Code examples in pyTorch and Tensorflow for CS230
Collection of useful data science topics along with articles, videos, and code
State of the Art Natural Language Processing
A series of large language models developed by Baichuan Intelligent Technology
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)
The official CLI and Python client for the Hugging Face Hub.
repository to research & share the machine learning articles
中文 NLP 预处理、解析工具包，准确、高效、易用 A Chinese NLP Preprocessing & Parsing Package www.jionlp.com
Facilitating the design, comparison and sharing of deep text matching models.
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
💁♀️Your new best friend powered by an artificial neural network
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
Build a modern LLM from scratch. Every line commented. Explained like we are five.
Open Machine Learning course
AI system design guide for engineers building production AI systems and evals.