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* [Shap](https://github.com/slundberg/shap) - Language Model Response Analyzer
* [Langchain](https://github.com/hwchase17/langchain) - Build Apps via LLM
* [GPTCache](https://github.com/zilliztech/GPTCache) - LLM Response Cache
* [Awesome Machine Learning](https://github.com/josephmisiti/awesome-machine-learning) or [OpenNN](https://www.opennn.net/) / [Git](https://github.com/Artelnics/OpenNN) - Machine Learning Framework
* [Awesome Machine Learning](https://github.com/josephmisiti/awesome-machine-learning) or [OpenNN](https://www.opennn.net/) / [Git](https://github.com/Artelnics/OpenNN) - Machine Learning Frameworks
* [OpenCog](https://opencog.org/) or [AForge](https://github.com/andrewkirillov/AForge.NET) - Artificial Intelligence Frameworks
* [100-Days-Of-ML-Code](https://github.com/Avik-Jain/100-Days-Of-ML-Code) or [Practical Deep Learning](https://course.fast.ai/) - Machine Learning Coding Lessons
* [Nixified](https://nixified.ai/) - Nix Flake for AI Projects
* [Approaching (Almost) Any Machine Learning Problem](https://github.com/abhishekkrthakur/approachingalmost/blob/master/AAAMLP.pdf) - Machine Learning Problem Solving Book