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San Francisco

Mathias Brandewinder

Elite
@mathias-brandewinder

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#

135

machine-learning-projects-for-dot-net-developers. F#

122

wonderland-fsharp-katas. F# port of gigasquid/wonderland-clojure-katas

72

CNTK.FSharp. F#

67

MonsterVault. F#

27

Charon. F#

27

fsibot. F#

25

Presentations. JavaScript

25

Atropos. F#

18

Quipu. F#

17

Excel-Charts. Utilities to generate Excel charts from F#

14

FsiRunner. Execute F# code in FSI from within a .NET application

13

4-levels-of-linear-programming. F#

11

mbrace-minimal. Minimal MBrace setup to test out the waters, with as few dependencies as possible

11

fsibot-serverless. F#

11

Canopy2048. F#

9

chateau-efcharpe. F#

5

mldotnet-experiments. Playground: experimentation with ML.NET

4

Exploring-Avalonia-Elmish. F#

4

worldbankbot. F#

4

Kaggle.HomeDepot. Repo for Kaggle Competiton

4

mathias-brandewinder.github.io. CSS

4

Kaggle-Digit-Recognizer. F#

4

bumblebee. F#

4

ML-dotnet-samples. Converting the ML.NET samples from C# to F#

3

GameOfLifeMvu. F#

3

mldotnet-fsi. F# scripting setup to use ML.NET

3

PacMan-must-die. F#

3

Project-Rosalind. F#

2

Mondrian. F#

2

anakin. Archive: old Excel 2007 VSTO add-in sample

2

BuildStuffLT2013. F# & Machine Learning Workshop at BuildStuffLT 2013

2

calder. F#

2

Kaggle-Titanic. F#

2

glorious-mop. F#

2

machinelearning-samples. Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

2

Amoeba. Simple Amoeba solver

1

delaunay. F#

1

Bardic-Inspiration. F#

1

Accord-FSharp. F#

1

HamOrSpam. "Ham or Spam" Naive Bayes Classification demo

1

Friedrich. F#

1

SIMD-exploration. F#

1

fsadvent2022-elves-factory. F#

1

FSharpRProvider. An F# Type Provider to interop with R

1

Dojo-Galileo. C

1

Dojo-Fable. F#

1