Popularity
1.2
Declining
Activity
0.0
Stable
4
3
9

Programming language: - - -

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.NET

    9.7 8.6 FsLab VS ML.NET
    Cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers.

  • Accord.NET

    9.5 6.7 L2 FsLab VS Accord.NET
    Machine learning framework combined with audio and image processing libraries (computer vision, computer audition, signal processing and statistics).

    • Build single-codebase applications for Windows, Web, Linux, macOS, iOS and Android with open-source Uno Platform. Fluent and Material design included in-the-box. Try now via 3 min tutorial.
    Sponsored platform.uno

  • TensorFlow.NET

    7.9 0.0 FsLab VS TensorFlow.NET
    .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.

  • AForge.NET

    7.0 0.7 L2 FsLab VS 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

    6.3 7.2 FsLab VS F# Data
    F# type providers for accessing XML, JSON, CSV and HTML files (based on sample documents) and for accessing WorldBank data

  • Deedle

    6.2 4.1 FsLab VS Deedle
    Data frame and (time) series library for exploratory data manipulation with C# and F# support

  • Accord.NET Extensions

    6.1 0.0 L5 FsLab VS Accord.NET Extensions
    Advanced image processing and computer vision algorithms made as fluent extensions.

  • encog-dotnet-core

    5.7 0.0 FsLab VS encog-dotnet-core
    Encog Machine Learning Framework

  • numl

    5.5 0.0 L3 FsLab VS numl
    Designed to include the most popular supervised and unsupervised learning algorithms while minimizing the friction involved with creating the predictive models.

  • Spreads

    4.5 2.9 FsLab VS 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.

  • R Provider

    4.2 0.0 FsLab VS R Provider
    Type provider that exposes R packages and functions in a type-safe way to F# callers

  • Catalyst

    3.6 6.5 FsLab VS 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

  • Synapses

    1.8 4.3 FsLab VS Synapses
    An in-memory neural network library written in F#.

  • Infer.NET

    1.7 0.0 FsLab VS Infer.NET
    A framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. [Proprietary] [Free] [Research]

  • SciSharp STACK

    - FsLab VS SciSharp STACK
    A rich machine learning ecosystem for .NET created by porting the most popular Python libraries to C#.

Do you think we are missing an alternative of FsLab or a related project?

Add another 'Machine Learning and Data Science' Package
Get performance insights in less than 4 minutes
Sponsored scoutapm.com

Popular Comparisons

SaaSHub - Software Alternatives and Reviews
Sponsored www.saashub.com

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:

  1. Download a selected template
  2. Build it to download FsLab packages
  3. 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 and 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.