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README.md

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* [Probabilistic Methods](#probabilistic-methods)
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* [Genetic Programming](#genetic-programming)
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* [Optimization](#optimization)
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* [Time Series](#time-series)
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* [Natural Language Processing](#natural-language-processing)
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* [Computer Audition](#computer-audition)
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* [Computer Vision](#computer-vision)
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* [Talos](https://github.com/autonomio/talos) - Hyperparameter Optimization for Keras Models.
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* [nlopt](https://github.com/stevengj/nlopt) - Library for nonlinear optimization (global and local, constrained or unconstrained).
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### Time Series
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## Time Series
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* [sktime](https://github.com/alan-turing-institute/sktime) - A unified framework for machine learning with time series. <img height="20" src="img/sklearn_big.png" alt="sklearn">
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* [tslearn](https://github.com/rtavenar/tslearn) - Machine learning toolkit dedicated to time-series data. <img height="20" src="img/sklearn_big.png" alt="sklearn">
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* [tick](https://github.com/X-DataInitiative/tick) - Module for statistical learning, with a particular emphasis on time-dependent modelling. <img height="20" src="img/sklearn_big.png" alt="sklearn">

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