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- .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
Gym.NET
Publicopenai/gym's popular toolkit for developing and comparing reinforcement learning algorithms port to C#.SciSharp.Models
PublicSciSharp-Stack-Examples
PublicPractical examples written in SciSharp's machine learning librariesqdrant-csharp
Public- Seq2SeqSharp is a tensor based fast & flexible encoder-decoder deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, many different types of encoders/decoders(Transformer, LSTM, BiLSTM and so on), multi-GPUs supported and so on.
- A library which enables using tensorflow.net with opencvsharp. It reuses the memory to provide a good performance.
- Keras.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.
- A lightweight and high-performance tensor library which provides numpy-like operations but .NET style interfaces. It supports generic tensor, Linq, C# native slices and so on. (Qushui student project))
- Tensorflow.NET documentation
ICSharpCore
PublicMicrocharts.Matplotlib
Public