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https://scisharp.github.io/SciSharp/
SciSharp STACK is focused on building tools for Machine Learning development.
https://scisharp.github.io/SciSharp/
dotnet machine-learning scisharp
Last synced: 2 months ago
JSON representation
SciSharp STACK is focused on building tools for Machine Learning development.
- Host: GitHub
- URL: https://scisharp.github.io/SciSharp/
- Owner: SciSharp
- License: apache-2.0
- Created: 2019-06-22T12:59:17.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2023-05-14T01:06:20.000Z (over 1 year ago)
- Last Synced: 2024-05-22T20:09:53.130Z (8 months ago)
- Topics: dotnet, machine-learning, scisharp
- Language: Vue
- Homepage: http://scisharpstack.org
- Size: 9.19 MB
- Stars: 104
- Watchers: 14
- Forks: 17
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- Funding: .github/FUNDING.yml
- License: LICENSE
Awesome Lists containing this project
- awesome-dotnet-datascience - SciSharp STACK - A rich machine learning ecosystem for .NET created by porting the most popular libraries to C#. Since the APIs of the ported libraries are so similar to the originals you can easily re-use all existing resources, documentation and community solutions to common problems in C# or F# without much effort. Severel of their packages are listed separately on this page. (Machine Learning and Differential Programming)
README
# SciSharp STACK Web Portal
This repo contains the source code for http://scisharpstack.org
## Comprehensive list of all Projects
### Stable or Beta
* [TensorFlow.NET](https://github.com/SciSharp/TensorFlow.NET) .NET Standard bindings for TensorFlow
* [NumSharp](https://github.com/SciSharp/NumSharp) Pure C# implementation of NumPy
* [Keras.NET](https://github.com/SciSharp/Keras.NET) Keras.NET is a high-level neural networks API for C#/F# with Python Binding and capable of running on top of TensorFlow, CNTK, or Theano.
* [Numpy.NET](https://github.com/SciSharp/Numpy.NET) C#/F# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI
* [ICSharpCore](https://github.com/SciSharp/ICSharpCore)
Jupyter kernel in C# .NET Core which is the standard interface for SciSharp STACK.
* [SharpCV](https://github.com/SciSharp/SharpCV) A image library combines OpenCV and NumSharp together. SharpCV returns Mat object with NDArray supported.
### Related technologies
* [.NET Interactive Notebooks](https://github.com/dotnet/interactive) Jupyter notebooks for C# and F#. Share code, explore data, write, and learn across your apps in ways you couldn't before.
* [Plotly.NET](https://github.com/plotly/Plotly.NET) A .NET interface for plotly.js written in F#
* [Dash.NET](https://github.com/plotly/Dash.NET) A .NET interface to Dash- the most downloaded framework for building ML & data science web apps
* [FsLab](https://fslab.org) An F# Community incubation space for data science
### Referenced by:
* https://medium.com/dev-genius/tensorflow-basic-setup-for-net-developers-d56bfb0af40e
* https://www.youtube.com/watch?v=NpZP_TWhq04&t=155s
* https://medium.com/machinelearningadvantage/run-tensorflow-machine-learning-code-in-c-with-almost-no-changes-77f7b629389
* https://libinjoseph.com/2019/technologies-to-watch-out/
* https://devblogs.microsoft.com/dotnet/announcing-ml-net-1-4-preview-and-model-builder-updates-machine-learning-for-net/
* https://www.meetup.com/Frederick-NET-Meetup/events/263752705/
* https://devblogs.microsoft.com/cesardelatorre/training-image-classification-recognition-models-based-on-deep-learning-transfer-learning-with-ml-net/
* https://www.youtube.com/watch?v=sN9e-Fj4NuI&t=317m39s
* http://blog.itpub.net/69946223/viewspace-2661203/
* https://docs.microsoft.com/en-us/dotnet/machine-learning/tutorials/image-classification-api-transfer-learning
* https://devblogs.microsoft.com/dotnet/announcing-ml-net-1-4-global-availability-machine-learning-for-net/
[](https://www.gitmemory.com/SciSharp)