Figuring out things, one model at a time. F# globe-trotter. @brandewinder on the fediverse.
Machine-Learning-In-Action. Converting the code from "Machine Learning in Action" from Python to F#
135machine-learning-projects-for-dot-net-developers. F#
122wonderland-fsharp-katas. F# port of gigasquid/wonderland-clojure-katas
72CNTK.FSharp. F#
67MonsterVault. F#
27Charon. F#
27fsibot. F#
25Presentations. JavaScript
25Atropos. F#
18Quipu. F#
17Excel-Charts. Utilities to generate Excel charts from F#
14FsiRunner. Execute F# code in FSI from within a .NET application
134-levels-of-linear-programming. F#
11mbrace-minimal. Minimal MBrace setup to test out the waters, with as few dependencies as possible
11fsibot-serverless. F#
11Canopy2048. F#
9chateau-efcharpe. F#
5mldotnet-experiments. Playground: experimentation with ML.NET
4Exploring-Avalonia-Elmish. F#
4worldbankbot. F#
4Kaggle.HomeDepot. Repo for Kaggle Competiton
4mathias-brandewinder.github.io. CSS
4Kaggle-Digit-Recognizer. F#
4bumblebee. F#
4ML-dotnet-samples. Converting the ML.NET samples from C# to F#
3GameOfLifeMvu. F#
3mldotnet-fsi. F# scripting setup to use ML.NET
3PacMan-must-die. F#
3Project-Rosalind. F#
2Mondrian. F#
2anakin. Archive: old Excel 2007 VSTO add-in sample
2BuildStuffLT2013. F# & Machine Learning Workshop at BuildStuffLT 2013
2calder. F#
2Kaggle-Titanic. F#
2glorious-mop. F#
2machinelearning-samples. Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
2Amoeba. Simple Amoeba solver
1delaunay. F#
1Bardic-Inspiration. F#
1Accord-FSharp. F#
1HamOrSpam. "Ham or Spam" Naive Bayes Classification demo
1Friedrich. F#
1SIMD-exploration. F#
1fsadvent2022-elves-factory. F#
1FSharpRProvider. An F# Type Provider to interop with R
1Dojo-Galileo. C
1Dojo-Fable. F#
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