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*[AI Fairness 360](https://github.com/IBM/AIF360) - Fairness metrics for datasets and ML models, explanations, and algorithms to mitigate bias in datasets and models.
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## Computations
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*[numpy](http://www.numpy.org/) - The fundamental package needed for scientific computing with Python.
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*[NumPy](https://numpy.org/) - The fundamental package for scientific computing with Python
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*[Dask](https://github.com/dask/dask) - Parallel computing with task scheduling. <imgheight="20"src="img/pandas_big.png"alt="pandas compatible">
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*[bottleneck](https://github.com/kwgoodman/bottleneck) - Fast NumPy array functions written in C.
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*[CuPy](https://github.com/cupy/cupy) - NumPy-like API accelerated with CUDA.
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