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 (1402)
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both i...
《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Learn how to design, develop, deploy and iterate on production-grade ML applications.
TensorFlow code and pre-trained models for BERT
中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本...
💫 Industrial-strength Natural Language Processing (NLP) in Python
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT...
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP...
Improve your resumes with Resume Matcher. Get insights, keyword suggestions and tune your resumes to job descriptions.
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipel...
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and...
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡
The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
DocsGPT is an open-source genAI tool that helps users get reliable answers from knowledge source, while avoiding hallucinations. It enables private an...
📺 Discover the latest machine learning / AI courses on YouTube.
Topic Modelling for Humans
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Oxford Deep NLP 2017 course
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Natural Language Processing Tutorial for Deep Learning Researchers
A very simple framework for state-of-the-art Natural Language Processing (NLP)
NLTK Source
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Style and Grammar Checker for 25+ Languages
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured...
An open-source tool-augmented conversational language model from Fudan University
An open-source NLP research library, built on PyTorch.
The official GitHub page for the survey paper "A Survey of Large Language Models".
Low-code framework for building custom LLMs, neural networks, and other AI models
Unsupervised text tokenizer for Neural Network-based text generation.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Open source annotation tool for machine learning practitioners.
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Fast and Accurate ML in 3 Lines of Code
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
A collection of machine learning examples and tutorials.
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)