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? Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 80+ languages.

12 Weeks, 24 Lessons, AI for All!

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

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

? Industrial-strength Natural Language Processing (NLP) in Python

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500 AI Machine learning Deep learning Computer vision NLP Projects with code

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.

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 tasks.