Framework for developers and researchers in the fields of Computer Vision and Artificial Intelligence (image processing, neural networks, genetic algorithms, machine learning, robotics).

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 8.6 AForge.NET 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 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

  7.9 0.0 AForge.NET VS TensorFlow.NET

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

• F# Data

  6.3 7.2 AForge.NET 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 AForge.NET 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 AForge.NET VS Accord.NET Extensions

  Advanced image processing and computer vision algorithms made as fluent extensions.

• encog-dotnet-core

  5.7 0.0 AForge.NET VS encog-dotnet-core

  Encog Machine Learning Framework

• numl

  5.5 0.0 L3 AForge.NET 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 AForge.NET 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 AForge.NET VS R Provider

  Type provider that exposes R packages and functions in a type-safe way to F# callers

• Catalyst

  3.6 6.5 AForge.NET 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 AForge.NET VS Synapses

  An in-memory neural network library written in F#.

• Infer.NET

  1.7 0.0 AForge.NET VS Infer.NET

  A framework for running Bayesian inference in graphical models. It can also be used for probabilistic programming. [Proprietary] [Free] [Research]

• FsLab

  1.2 0.0 AForge.NET VS FsLab

  A collection of data science and machine learning libraries for F# and .NET

• SciSharp STACK

  - AForge.NET VS SciSharp STACK

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

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Popular Comparisons

• AForge.NET
  vs
  Accord.NET
• AForge.NET
  vs
  Accord.NET Extensions
• AForge.NET
  vs
  encog-dotnet-core
• AForge.NET
  vs
  Deedle
• AForge.NET
  vs
  F# Data

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