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自然语言处理
Created by Alan Turing
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- 维基百科
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.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
TensorFlow code and pre-trained models for BERT
12 Weeks, 24 Lessons, AI for All!
Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification
💫 Industrial-strength Natural Language Processing (NLP) in Python
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
📖 A curated list of resources dedicated to Natural Language Processing (NLP)
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
Topic Modelling for Humans