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Lambdo is a workflow engine that unifies feature engineering and machine learning operations. In its workflows, nodes can be treated as features or predictions, and both can be trained. It uses column-oriented data processing and provides functions for time-series analysis and forecasting.
ML.NET is an open source, cross-platform machine learning framework for .NET. It lets developers build, train, deploy and consume custom models in .NET applications, with data loading from files and databases, data transformations and many ML algorithms. Models can be trained for scenarios such as classification, forecasting and anomaly detection, and TensorFlow and ONNX models can be consumed within the framework.
Trail Sense is an open-source Android application that uses a phone's built-in sensors to assist with wilderness treks and survival situations. It is designed for fully offline use, and includes tools for hiking, camping, navigation, weather forecasting, and survival support.
The windML framework provides access to wind data sources within Python, building upon numpy, scipy, sklearn and matplotlib. It relates to renewable wind energy forecasting and prediction. The package is currently not maintained, though a deprecated branch is available.
