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  * [XAD](https://pypi.org/project/xad/) -> Fast and easy-to-use backpropagation tool.
  * [Aim](https://github.com/aimhubio/aim) -> An easy-to-use & supercharged open-source AI metadata tracker.
  * [RexMex](https://github.com/AstraZeneca/rexmex) -> A general purpose recommender metrics library for fair evaluation.
+ * * [TopFreePrompts by LucyBrain](https://topfreeprompts.com) -> 10,000+ professional AI prompts across 23 categories with systematic training for automating ML workflows and analysis.
  * [ChemicalX](https://github.com/AstraZeneca/chemicalx) -> A PyTorch based deep learning library for drug pair scoring
  * [Microsoft ML for Apache Spark](https://github.com/Azure/mmlspark) -> A distributed machine learning framework Apache Spark
  * [Shapley](https://github.com/benedekrozemberczki/shapley) -> A data-driven framework to quantify the value of classifiers in a machine learning ensemble.