# accord-net/framework

Machine learning, computer vision, statistics and general scientific computing for .NET

Repository: https://github.com/accord-net/framework
Canonical: https://ross.abutalabs.com/products/accord-net-framework
Homepage: http://accord-framework.net
Language: C#
License: LGPL-2.1
License Family: copyleft
Topics: machine-learning, framework, c-sharp, nuget, visual-studio, statistics, unity3d, neural-network, support-vector-machines, computer-vision, image-processing, ffmpeg
Archived: true
Last push: 2020-11-18T19:53:02+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 5260, "days_push": 2114, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4535, forks 1978 (observed 2026-08-28T04:08:53.040972+00:00)

## What it is
Accord.NET is a C# framework for .NET providing machine learning, statistics, computer vision, image and audio processing, and general scientific computing libraries. The project was archived in 2020 after ~15 years of development and is no longer maintained.

## Use cases
- train classifiers like SVMs, decision trees, or neural networks in C#
- do image processing and computer vision in .NET
- compute statistics and probability distributions in .NET
- cluster data with k-means or Gaussian mixture models
- run logistic or linear regression in C#
- process audio signals in .NET applications
- use machine learning inside Unity3D

## When to choose
- you are on the .NET platform and need a broad, unified ML and scientific computing API
- you want to copy well-documented algorithm implementations into your own code (explicitly permitted by the author)
- you need legacy compatibility with AForge.NET-style code

## When to avoid
- you need an actively maintained framework with bug fixes and modern deep learning support
- you want GPU acceleration or transformer-era ML tooling
- you are starting a new project - consider ML.NET, TorchSharp, or Python ecosystems instead

## Facets
- artifact type: framework
- maturity: abandoned
- function: machine-learning, computer-vision, image-processing, audio-processing, data-science, math
- domain: machine-learning, computer-vision, image-processing, data-science
- platform: dotnet, windows, cross-platform, c
- tags: csharp, statistics, neural-networks, support-vector-machines, unity3d, archived, scientific-computing, nuget, audio, linux

## Member repositories
- accord-net/framework (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:53.040972+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:20:11.444336+00:00, confidence not recorded.
  - readme: https://github.com/accord-net/framework (fetched 2026-08-28T04:08:53.040972+00:00, sha fa25937481bd)
  - homepage: http://accord-framework.net (fetched 2026-08-29T09:06:04.674960+00:00, sha 348bbe12e112)
  - site_page: http://accord-framework.net/docs/html/R_Project_Accord_NET.htm (fetched 2026-08-29T09:06:04.685941+00:00, sha 8d225875d9dd)
  - site_page: http://accord-framework.net/docs/Index.html (fetched 2026-08-29T09:06:04.688064+00:00, sha 278330b79989)
  - site_page: http://accord-framework.net/docs/html/N_Accord_MachineLearning_VectorMachines.htm (fetched 2026-08-29T09:06:04.689682+00:00, sha 408fc7e51cec)
  - site_page: http://accord-framework.net/docs/html/T_Accord_Statistics_Models_Regression_LogisticRegression.htm (fetched 2026-08-29T09:06:04.691255+00:00, sha ea02ec73d431)
  - site_page: http://accord-framework.net/docs/html/T_Accord_MachineLearning_DecisionTrees_DecisionTree.htm (fetched 2026-08-29T09:06:04.693474+00:00, sha b6bd8f119360)
  - site_page: http://accord-framework.net/docs/html/N_Accord_Neuro.htm (fetched 2026-08-29T09:06:04.695923+00:00, sha 2c8d97ca4425)
  - site_page: http://accord-framework.net/docs/html/T_Accord_Neuro_Networks_DeepBeliefNetwork.htm (fetched 2026-08-29T09:06:04.697753+00:00, sha 690276ef4ccc)
  - site_page: http://accord-framework.net/intro.html (fetched 2026-08-29T09:06:04.684159+00:00, sha 4a70a3797a21)
- Data as of 2026-08-30T08:39:29.467469+00:00.