1. Torch.net.NET bindings for PyTorch. Machine Learning with C# / F# with Multi-GPU/CPU support
2. Tensorflow.net.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
3. SharpcvA Computer Vision library for C# and F# that combines OpenCV and NDArray together in .NET Standard.
6. IcsharpcoreJupyter kernel in C# .NET Core which is the standard interface for SciSharp STACK.
7. BotsharpThe Open Source AI Chatbot Platform Builder in 100% C# Running in .NET Core with Machine Learning algorithm.
8. NumsharpHigh Performance Computation for N-D Tensors in .NET, similar API to NumPy.
9. Ludwig.netLudwig is a toolbox that allows to train and test deep learning models without the need to write code.
11. Keras.netKeras.NET is a high-level neural networks API for C# and F#, with Python Binding and capable of running on top of TensorFlow, CNTK, or Theano.
12. SianetAn easy to use C# deep learning library with CUDA/OpenCL support
13. Numpy.netC#/F# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI
14. Pandas.netPandas port for C# and F#, data analysis tool, process multi-dim array in DataFrame.
20. pythonnetPython for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET developers.
21. OpenAIGym.NETA toolkit for developing and comparing reinforcement learning algorithms.
22. SciSharpCubeQuickly experience all the latest features of SciSharp Machine Learning tools in docker container.