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Added Darts: A library for time series forecasting

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@ -705,7 +705,8 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [vowpal_porpoise](https://github.com/josephreisinger/vowpal_porpoise) - A lightweight Python wrapper for [Vowpal Wabbit](https://github.com/JohnLangford/vowpal_wabbit/). * [vowpal_porpoise](https://github.com/josephreisinger/vowpal_porpoise) - A lightweight Python wrapper for [Vowpal Wabbit](https://github.com/JohnLangford/vowpal_wabbit/).
* [xgboost](https://github.com/dmlc/xgboost) - A scalable, portable, and distributed gradient boosting library. * [xgboost](https://github.com/dmlc/xgboost) - A scalable, portable, and distributed gradient boosting library.
* [MindsDB](https://github.com/mindsdb/mindsdb) - MindsDB is an open source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries. * [MindsDB](https://github.com/mindsdb/mindsdb) - MindsDB is an open source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries.
- [Pycobra](https://github.com/bhargavvader/pycobra) - A Python toolbox for ensemble learning and visualization, offering tools to combine multiple models for improved performance. * [Darts](https://github.com/unit8co/darts) - A time series forecasting library with support for statistical and deep learning models, offering an intuitive interface.
## Microsoft Windows ## Microsoft Windows