System.AI is a stack of machine learning and data analysis technologies for the .NET ecosystem.
System.AI is supported by any software and hardware platforms that support the Microsoft .NET Framework or its implementations, such as Microsoft .NET Core, Mono, or Xamarin. The core of the System.AI is written in pure C# and is exclusively managed code.
Detailed instructions for launching on different platforms: https://github.com/ColorfulSoft/System.AI/blob/master/Docs/GettingStarted.md
Warning!
Note that the libraries of System.AI basically repeats the interface and behavior of the corresponding analogues from the Python ecosystem, but they do not do it 100%. This is largely due to the difference in topologies .NET and Python. For example, the torch.jit module that exists in PyTorch probably won't be implemented in Torch.NET, since it will not make sense in the case of working in the ecosystem .NET (programs with Torch.NET by themselves are portable and there is no point in making them even more portable with torchscript).
System.AI is a set of libraries, each of which can be used independently of the others as a component of your product. By default, System.AI is compiled into a set of dynamic libraries, however, it is also possible to compile into a single System.AI.dll library
- ready - Development is complete. The library is ready to use. Expansion of the functionality is not planned(but not excluded).
- stable - Stable version, ready to use.
- dev - Development is underway, and the code will be added soon.
- prev - The code is posted for informational purposes and is currently not ready for use in production.
- [22.11.2022] DotnetExtensions library is now available after reconstruction.
- [31.10.2022] micrograd.NET library is now available.
- [31.10.2022] V2.0 is now the main branch.
- [27.10.2022] torchfile.NET library is now available.
- [20.07.2022] Support for VisualStudio/SharpDevelop/MonoDevelop via handwritten *.sln and *.csproj files. Tested using SharpDevelop 5.1.
- [20.04.2022] Active work is underway on the torch.NET and torchvision.NET modules. Some codes are placed in the repository for demonstration purposes.
- [14.04.2022] Added documentation for warnings.NET.
- [11.04.2022] The current documentation for the System.FloatingPoint and imageio.NET libraries is posted.
- [10.04.2022] A new version of the PyType.NET library is available.
- [10.04.2022] A new version of imageio.NET has been released.
- [10.04.2022] The System.Complex module is implemented, which contains
CQuarter
,CHalf
,CBFloat16
,CFloat
andCDouble
types of complex numbers. Added missing type conversions to the System.FloatingPoint module. - [05.03.2022] Implemented a warnings.NET warning module, an analogue of the standard
warnings
module of the Python ecosystem. - [05.03.2022] The generation of the debug version has been added, the imageio.NET library has been optimized.
- [03.03.2022] An updated version of imageio.NET is now available in System.AI 2.0
- [13.12.2021] Version 1.1 of the System.FloatingPoint component has been released. The
BFloat16
data type is implemented. - [12.12.2021] The restructuring of the project has been launched.
- [06.02.2021] The code of torch.NET and MKL is placed for demonstration purposes in the form in which they are at this stage of development. Added the PyType.NET library.
- [19.01.2021] The new version of imageIO.NET library is ready to use! In the new version: data format has been changed to HWC, as in imageio for Python, performance of
imageio.imread
andimageio.imwrite
has been improved. - [27.10.2020] The new version of imageIO.NET library is ready to use! Arrays of all standard numeric types are now supported for images. Also, imageIO.NET now supports reading and writing images from / to the stream.