AForge.NET alternatives and similar packages

Based on the "Machine Learning and Data Science" category.
Alternatively, view AForge.NET alternatives based on common mentions on social networks and blogs.

ML.NET

9.7 8.7 AForge.NET VS ML.NET

ML.NET is an open source and cross-platform machine learning framework for .NET.
Accord.NET

9.5 6.7 L2 AForge.NET VS Accord.NET

Machine learning framework combined with audio and image processing libraries (computer vision, computer audition, signal processing and statistics).

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TensorFlow.NET

8.1 8.7 AForge.NET VS TensorFlow.NET

.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
m2cgen

7.5 8.1 AForge.NET VS m2cgen

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Deedle

6.3 5.3 AForge.NET VS Deedle

Easy to use .NET library for data and time series manipulation and for scientific programming
F# Data

6.3 7.4 AForge.NET VS F# Data

F# Data: Library for Data Access
Accord.NET Extensions

6.1 0.0 L5 AForge.NET VS Accord.NET Extensions

Advanced image processing and computer vision algorithms made as fluent extensions.
encog-dotnet-core

5.6 0.0 AForge.NET VS encog-dotnet-core

Encog Machine Learning Framework
numl

5.3 0.0 L3 AForge.NET VS numl

Machine Learning for .NET
Spreads

4.6 0.0 AForge.NET VS Spreads

Series and Panels for Real-time and Exploratory Analysis of Data Streams
Catalyst

4.5 6.1 AForge.NET 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.
R Provider

4.3 8.3 AForge.NET VS R Provider

Access R packages from F#
Synapses

2.2 2.7 AForge.NET VS Synapses

A group of neural-network libraries for functional and mainstream languages
Infer.NET

1.8 0.0 AForge.NET VS Infer.NET

UAI 2015. Kernel-based just-in-time learning for expectation propagation
FsLab

1.4 0.0 AForge.NET VS FsLab

FsLab project templates - download as ZIP to get started!
SciSharp STACK

- AForge.NET VS SciSharp STACK

A rich machine learning ecosystem for .NET created by porting the most popular Python libraries to C#.