FsLab alternatives and similar packages
Based on the "Machine Learning and Data Science" category.
Alternatively, view FsLab alternatives based on common mentions on social networks and blogs.
ML.NET9.6 7.2 FsLab VS ML.NETML.NET is an open source and cross-platform machine learning framework for .NET.
Accord.NET9.5 6.7 L2 FsLab VS Accord.NETMachine learning framework combined with audio and image processing libraries (computer vision, computer audition, signal processing and statistics).
TensorFlow.NET8.3 2.1 FsLab VS TensorFlow.NET.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
AForge.NET7.1 0.0 L2 FsLab VS AForge.NETAForge.NET Framework is a C# framework designed for developers and researchers in the fields of Computer Vision and Artificial Intelligence - image processing, neural networks, genetic algorithms, machine learning, robotics, etc.
F# Data6.3 6.1 FsLab VS F# DataF# Data: Library for Data Access
Deedle6.3 3.7 FsLab VS DeedleEasy to use .NET library for data and time series manipulation and for scientific programming
Accord.NET Extensions6.1 0.0 L5 FsLab VS Accord.NET ExtensionsAdvanced image processing and computer vision algorithms made as fluent extensions.
encog-dotnet-core5.5 0.0 FsLab VS encog-dotnet-coreEncog Machine Learning Framework
numl5.3 0.0 L3 FsLab VS numlMachine Learning for .NET
Catalyst5.0 5.6 FsLab VS Catalyst🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
Spreads4.6 3.7 FsLab VS SpreadsSeries and Panels for Real-time and Exploratory Analysis of Data Streams
R Provider4.3 0.0 FsLab VS R ProviderAccess R packages from F#
Synapses2.3 0.0 FsLab VS SynapsesA group of neural-network libraries for functional and mainstream languages
Infer.NET1.8 0.0 FsLab VS Infer.NETUAI 2015. Kernel-based just-in-time learning for expectation propagation
SciSharp STACKA rich machine learning ecosystem for .NET created by porting the most popular Python libraries to C#.
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* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.
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FsLab project templates
This repository hosts FsLab project templates compatible with many F# editors. Using the templates, you can start with FsLab in 3 simple steps:
- Download a selected template
- Build it to download FsLab packages
- Open scripts in your editor & play!
1. Download a template
To get started, download a branch with the template as a ZIP file and extract the files. The repository currently hosts the following templates:
- FsLab Basic template - references FsLab and gives you a single script file with simple demo
- FsLab Journal template - in addition to the above, this template also lets you write literate FsLab scripts and produce HTML or LaTeX reports
2. Build the template
Visual Studio and Xamarin Studio should download FsLab packages automatically on build. If this doesn't happen (or when using other editors), you need to explicitly install them.
In the basic template, run
paket install. For example, when using mono on Mac, run:
mono .paket/paket.bootstrapper.exe mono .paket/paket.exe install
In the journal template you can use build scripts
build.cmd. The following will process all journals and open them in a web browser:
chmod +x build.sh ./build.sh run
3. Use FsLab for fun & profit!
Once you have the template and packages, you can open the
Tutorial.fsx file and start playing
with FsLab. For more information, see the Getting Started page on www.fslab.org.