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 (1431)
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
中文分词
fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
Foundation Architecture for (M)LLMs
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)
:book: A Golang library for text processing, including tokenization, part-of-speech tagging, and named-entity extraction.
Natural Language Processing Tasks and References
Toolkit for creating, sharing and using natural language prompts.
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
Must-read Papers on LLM Agents.
The Python Code Tutorials
MITIE: library and tools for information extraction
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
A 13B large language model developed by Baichuan Intelligent Technology
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
🚀 EvoAgentX: Building a Self-Evolving Ecosystem of AI Agents
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in...
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
A Unified Library for Parameter-Efficient and Modular Transfer Learning
[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
MLNLP: This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open r...
NLP made easy
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
The most popular spellchecking library.
Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis
Machine Learning University: Accelerated Natural Language Processing Class
Datasets, tools, and benchmarks for representation learning of code.
👩🏫 Advanced NLP with spaCy: A free online course
Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project....
A modular RL library to fine-tune language models to human preferences
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly...
The Natural Language Decathlon: A Multitask Challenge for NLP
Beautiful visualizations of how language differs among document types.
深度有趣
Library to scrape and clean web pages to create massive datasets.
This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions,...
NLP, before and after spaCy
Basic Utilities for PyTorch Natural Language Processing (NLP)
Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
Unsupervised Data Augmentation (UDA)
A high-level machine learning and deep learning library for the PHP language.
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。
Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of...
An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks
[Survey] A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L