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fix: move rase to ML section

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@ -730,6 +730,7 @@ _Libraries for Machine Learning. Also see [awesome-machine-learning](https://git
- [PraisonAI](https://github.com/MervinPraison/PraisonAI) - Production-ready Multi-AI Agents framework with self-reflection, 100+ LLM support, MCP integration, and agentic workflows.
- [pydantic-ai](https://github.com/pydantic/pydantic-ai) - A Python agent framework for building generative AI applications with structured schemas.
- [RAGFlow](https://github.com/infiniflow/ragflow) - An open-source RAG engine for document understanding and question answering with LLMs.
- [rasa](https://github.com/RasaHQ/rasa) - An open-source machine learning framework for automated text and voice-based conversations.
- [scikit-learn](http://scikit-learn.org/) - The most popular Python library for Machine Learning.
- [Spark ML](http://spark.apache.org/docs/latest/ml-guide.html) - [Apache Spark](http://spark.apache.org/)'s scalable Machine Learning library.
- [Transformers](https://github.com/huggingface/transformers) - A framework that lets you easily use pretrained transformer models for NLP, vision, and audio tasks.
@ -763,7 +764,6 @@ _Libraries for working with human languages._
- [nltk](http://www.nltk.org/) - A leading platform for building Python programs to work with human language data.
- [pattern](https://github.com/clips/pattern) - A web mining module.
- [polyglot](https://github.com/aboSamoor/polyglot) - Natural language pipeline supporting hundreds of languages.
- [rasa](https://github.com/RasaHQ/rasa) - An open-source machine learning framework for automated text and voice-based conversations.
- [spacy](https://spacy.io/) - A library for industrial-strength natural language processing in Python and Cython.
- [Stanza](https://github.com/stanfordnlp/stanza) - The Stanford NLP Group's official Python library, supporting 60+ languages.
- Chinese