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## Repository archive
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Here you can find links to repositories for various purposes. This list is provided for archival purposes so that you may use it in your academic / personal projects.
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* [NeuralProphet](https://github.com/ourownstory/neural_prophet): a python library from Facebook for forecasting time series data based on Neural Network
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* Photo recovery with ML
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<span dir="">https://github.com/microsoft/Bringing-Old-Photos-Back-to-Life\
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https://github.com/microsoft/recommenders\
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https://github.com/microsoft/InnerEye-DeepLearning\
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https://github.com/microsoft/MCW-Machine-Learning\
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https://github.com/microsoft/machine-learning-for-programming-samples\
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https://github.com/microsoft/LightGBM\
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https://github.com/microsoft/MachineLearningNotebooks\
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https://github.com/microsoft/ml-server-text-classification\
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https://github.com/microsoft/MLADS2018-QuantumML\
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https://github.com/microsoft/Microsoft-Rocket-Video-Analytics-Platform\
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https://github.com/microsoft/OCP-ISV-Machine-Learning-Hands-on-Lab</span>
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* [Photo recovery with ML](https://github.com/microsoft/Bringing-Old-Photos-Back-to-Life)
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* [Recommendation systems](https://github.com/microsoft/recommenders)
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*[Deep learning toolbox to train models on medical images](https://github.com/microsoft/InnerEye-DeepLearning)
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* [ML lecture materials from University of Cambridge](https://github.com/microsoft/machine-learning-for-programming-samples)
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* [LightGBM: tree based learning algorithm](https://github.com/microsoft/LightGBM)
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* [ML notes from Microsoft](https://github.com/microsoft/ML-For-Beginners)
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* [Use trained machine learning models in your Windows apps](https://github.com/microsoft/Windows-Machine-Learning)
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* [Microsoft contributing libraries, tools, recipes, sample codes and workshop contents for machine learning & deep learning](https://github.com/microsoft/machine-learning-collection)
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*[Biophony](https://github.com/microsoft/acoustic-bird-detection)
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*[Introduction to Quantum Machine Learning](https://github.com/microsoft/QuantumKatas)
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*[Object detection & counting/alerting](https://github.com/microsoft/Microsoft-Rocket-Video-Analytics-Platform)
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*[Machine Learning - Hands on Lab](https://github.com/microsoft/OCP-ISV-Machine-Learning-Hands-on-Lab)
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## Useful online tools |
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