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🦉 Data Versioning and ML Experiments
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Hands-on Deep Reinforcement Learning, published by Packt
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A toolkit for developing and comparing reinforcement learning algorithms.
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scikit-learn: machine learning in Python
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StackNet is a computational, scalable and analytical Meta modelling framework
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Apache Mahout - an environment for quickly creating scalable, performant machine learning applications.
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A global, black box optimization engine for real world metric optimization.
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[deprecated] Jupyter CoLaboratory, goto google colab now
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Master repository for the JGraphT project
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aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)