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.
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ML.NET
Cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers. -
Accord.NET
Machine learning framework combined with audio and image processing libraries (computer vision, computer audition, signal processing and statistics). -
TensorFlow.NET
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#. -
AForge.NET
Framework for developers and researchers in the fields of Computer Vision and Artificial Intelligence (image processing, neural networks, genetic algorithms, machine learning, robotics). -
F# Data
F# type providers for accessing XML, JSON, CSV and HTML files (based on sample documents) and for accessing WorldBank data -
Deedle
Data frame and (time) series library for exploratory data manipulation with C# and F# support -
Accord.NET Extensions
Advanced image processing and computer vision algorithms made as fluent extensions. -
numl
Designed to include the most popular supervised and unsupervised learning algorithms while minimizing the friction involved with creating the predictive models. -
Spreads
Series and Panels for Real-time and Exploratory Analysis of Data Streams. Spreads library is optimized for performance and memory usage. It is several times faster than other open source projects. -
Catalyst
Catalyst Cross-platform Natural Language Processing (NLP) library inspired by spaCy, with pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models. Part of the SciSharp Stack -
Infer.NET
A framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. [Proprietary] [Free] [Research] -
SciSharp STACK
A rich machine learning ecosystem for .NET created by porting the most popular Python libraries to C#.
Pixel-Perfect Multi-Platform Applications with C# and XAML
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README
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.sh
andbuild.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.