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‎README.md‎

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* [Towhee](https://towhee.io) - A Python module that encode unstructured data into embeddings.
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* [scikit-learn](https://scikit-learn.org/) - A Python module for machine learning built on top of SciPy.
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* [metric-learn](https://github.com/metric-learn/metric-learn) - A Python module for metric learning.
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* [MCP Memory Service](https://github.com/doobidoo/mcp-memory-service) - Universal memory service with semantic search, autonomous consolidation, and multi-client support for AI applications.
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* [OpenMetricLearning](https://github.com/OML-Team/open-metric-learning) - A PyTorch-based framework to train and validate the models producing high-quality embeddings.
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* [Intel(R) Extension for Scikit-learn](https://github.com/intel/scikit-learn-intelex) - A seamless way to speed up your Scikit-learn applications with no accuracy loss and code changes.
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* [SimpleAI](https://github.com/simpleai-team/simpleai) Python implementation of many of the artificial intelligence algorithms described in the book "Artificial Intelligence, a Modern Approach". It focuses on providing an easy to use, well documented and tested library.
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* [Agentic Signal](https://github.com/code-forge-temple/agentic-signal) - Visual AI agent workflow automation platform with local LLM integration. Build intelligent workflows using drag-and-drop, no cloud required.
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* [ScribePal](https://github.com/code-forge-temple/scribe-pal) - Chrome extension that uses local LLMs to assist with writing and drafting responses based on the context of your open tabs.
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* [Local LLM NPC](https://github.com/code-forge-temple/local-llm-npc) - Godot 4.x asset that enables NPCs to interact with players using local LLMs for structured, offline-first learning conversations in games.
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* [Awesome Hugging Face Models](https://github.com/JehoshuaM/awesome-huggingface-models) - Curated list of top Hugging Face models for NLP, vision, and audio tasks with demos and benchmarks.
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<a name="books"></a>
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## Books

‎books.md‎

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* [Inside Deep Learning](https://www.manning.com/books/inside-deep-learning) Early access book
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* [Math and Architectures of Deep Learning](https://www.manning.com/books/math-and-architectures-of-deep-learning) Early access book
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* [Deep Learning for Natural Language Processing](https://www.manning.com/books/deep-learning-for-natural-language-processing) Early access book
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* [Deep Learning with R, Third Edition](https://www.manning.com/books/deep-learning-with-r-third-edition)
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* [Deep Learning with R, Third Edition](https://www.manning.com/books/deep-learning-with-r-third-edition)
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* [AI Model Evaluation](https://www.manning.com/books/ai-model-evaluation)
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## Natural Language Processing
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