🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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Updated
Jun 10, 2024 - Python
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.
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
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 文本分类聚类 拼音简繁转换 自然语言处理
12 Weeks, 24 Lessons, AI for All!
💫 Industrial-strength Natural Language Processing (NLP) in Python
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
💬 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
500 AI Machine learning Deep learning Computer vision NLP Projects with code
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)
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Oxford Deep NLP 2017 course
Topic Modelling for Humans
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。
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
📺 Discover the latest machine learning / AI courses on YouTube.
🔍 LLM 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.
Natural Language Processing Tutorial for Deep Learning Researchers
Created by Alan Turing