Does anyone have any experience using ML.NET for forecasting?

This page summarizes the projects mentioned and recommended in the original post on /r/dotnet

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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SaaSHub helps you find the best software and product alternatives
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  • accord-net-framework

    Machine learning, computer vision, statistics and general scientific computing for .NET

  • I'm currently working on revitalizing it and porting to .NET / Core, but it's going to take some time.

  • TensorFlow.NET

    .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.

  • But Ive actually been looking at TensorFlow.NET. Its uses .NET binding for TensorFlow machine learning library. Heres the GitHub page: https://github.com/SciSharp/TensorFlow.NET

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
  • interactive

    .NET Interactive combines the power of .NET with many other languages to create notebooks, REPLs, and embedded coding experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.

  • I've been excited about a lot of the work being done in .NET Interactive and Polyglot Notebooks, particuarly with ML with F#. I don't know too much about ML, so I thought I'd check out ML.NET.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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