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- .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
- openai/gym's popular toolkit for developing and comparing reinforcement learning algorithms port to C#.
NumSharp
PublicSciSharp.Models
PublicSharpCV
PublicSciSharp-Stack-Examples
PublicPractical examples written in SciSharp's machine learning librariesprotobuf.Text
Publicchatbot-ui
Publictensorflow
Publicqdrant-csharp
PublicSciSharp
PublicSeq2SeqSharp
PublicSeq2SeqSharp 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
PublicKeras.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.Tensor.NET
PublicA 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-docs
PublicTensorflow.NET documentationCherubNLP
PublicICSharpCore
PublicCodeMinion
PublicMicrocharts.Matplotlib
Publicpyspark-tutorial
PublicPlot.NET
Public