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- [H2O](https://github.com/h2oai/awesome-h2o#readme) - Open source distributed machine learning platform written in Java with APIs in R, Python, and Scala. - [H2O](https://github.com/h2oai/awesome-h2o#readme) - Open source distributed machine learning platform written in Java with APIs in R, Python, and Scala.
- [Software Engineering for Machine Learning](https://github.com/SE-ML/awesome-seml#readme) - From experiment to production-level machine learning. - [Software Engineering for Machine Learning](https://github.com/SE-ML/awesome-seml#readme) - From experiment to production-level machine learning.
- [AI in Finance](https://github.com/georgezouq/awesome-ai-in-finance#readme) - Solving problems in finance with machine learning. - [AI in Finance](https://github.com/georgezouq/awesome-ai-in-finance#readme) - Solving problems in finance with machine learning.
- [AI Evaluation](https://github.com/Vvkmnn/awesome-ai-eval#readme) - Measuring reliability, accuracy, and safety of LLMs, RAG pipelines, and AI agents.
- [JAX](https://github.com/n2cholas/awesome-jax#readme) - Automatic differentiation and XLA compilation brought together for high-performance machine learning research. - [JAX](https://github.com/n2cholas/awesome-jax#readme) - Automatic differentiation and XLA compilation brought together for high-performance machine learning research.
- [XAI](https://github.com/altamiracorp/awesome-xai#readme) - Providing insight, explanations, and interpretability to machine learning methods. - [XAI](https://github.com/altamiracorp/awesome-xai#readme) - Providing insight, explanations, and interpretability to machine learning methods.
- [Speech and Natural Language Processing](https://github.com/edobashira/speech-language-processing#readme) - [Speech and Natural Language Processing](https://github.com/edobashira/speech-language-processing#readme)