Google's TensorFlow full binding in .NET Standard.
Building, training and infering deep learning models.
Install-Package TensorFlow.NET -Version 0.30.0
dotnet add package TensorFlow.NET --version 0.30.0
<PackageReference Include="TensorFlow.NET" Version="0.30.0" />
paket add TensorFlow.NET --version 0.30.0
tf.net 0.20.x and above are based on tensorflow native 2.x.
* Eager Mode is added finally.
* tf.keras is partially working.
* tf.data is added.
* autograph works partially.
TensorFlow .NET v0.30 is focused on making more Keras API work including:
* Building keras model in subclass, functional and sequential api
NuGet packages (7)
Showing the top 5 NuGet packages that depend on TensorFlow.NET:
Microsoft.ML.TensorFlow contains ML.NET integration of TensorFlow.
Microsoft.ML.Dnn contains APIs to do high level DNN training such as image classification.
.NET text analysis tool. Tokenize, Stemming and Lemmatization.
Open source AI Bot platform builder which is written in C# runs on .Net Core and is enterprise oriented. Integrated with multiple bot engines besides BotSharp bot engine. Modulized pipeline design make NLP tasks plugin easily. Abstract platform and NLP task, migrate existed chatbot from a platform into another platform perfectly through dump and restore. If you feel that this project is helpful to you, please Star on the project, we will be very grateful.
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
GitHub repositories (4)
Showing the top 4 popular GitHub repositories that depend on TensorFlow.NET:
ML.NET is an open source and cross-platform machine learning framework for .NET.
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C#.
The Open Source AI Chatbot Platform Builder in 100% C# Running in .NET Core with Machine Learning algorithm.
An easy to use C# deep learning library with CUDA/OpenCL support