Found 147 packages
Google's TensorFlow full binding in .NET Standard. Building, training and infering deep learning models. https://tensorflownet.readthedocs.io
SciSharp.TensorFlow.Redist is a package contains Google TensorFlow C library CPU version 2.16.0 redistributed as a NuGet package.
Microsoft.ML.TensorFlow contains ML.NET integration of TensorFlow.
SciSharp.TensorFlow.Redist-Windows-GPU contains the Google TensorFlow C library GPU version 2.10.3 redistributed as a NuGet package.
Microsoft.ML.TensorFlow.Redist contains the TensorFlow C library version 1.13.1 redistributed as a NuGet package.
Keras for .NET Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages.
SciSharp.TensorFlow.Redist-Linux-GPU contains the Google TensorFlow C library GPU version 2.11.1 redistributed as a NuGet package.
.NET Bindings for TensorFlow
tensorflow native dlls (Windows x64 gpu)
FULL TensorFlow 1.15 for .NET with Keras. Build, train, checkpoint, execute models. Samples: https://github.com/losttech/Gradient-Samples, https://github.com/losttech/YOLOv4, https://github.com/losttech/Siren Deep learning with .NET blog: https://ml.blogs.losttech.software/ Comparison with TensorFlowSharp: https://github.com/losttech/Gradient/#why-not-tensorflowsharp Comparison with TensorFlow.NET: https://github.com/losttech/Gradient/#why-not-tensorflow-net Allows building arbitrary machine learning models, training them, and loading and executing pre-trained models using the most popular machine learning framework out there: TensorFlow. All from your favorite comfy .NET language. Supports both CPU and GPU training (the later requires CUDA or a special build of TensorFlow). Provides access to full tf.keras and tf.contrib APIs, estimators and many more. Free for non-commercial use. For licensing options see https://losttech.software/buy_gradient.html !!NOTE!! This version requires Python 3.x x64 to be installed with tensorflow 1.15.x. See the official installation instructions in https://www.tensorflow.org/install/pip#older-versions-of-tensorflow (ensure you are installing version 1.15 to avoid hard-to-debug issues). Please, report any issues to https://github.com/losttech/Gradient/issues For community support use https://stackoverflow.com/ with tags (must be all 3 together) tensorflow, gradient, and .net. For support email contact@losttech.software . More information in NuGet package release notes and on the project web page: https://github.com/losttech/Gradient . TensorFlow, the TensorFlow logo and any related marks are trademarks of Google Inc.
.NET for Android and MAUI bindings for the Android Java library 'org.tensorflow:tensorflow-lite'. Library description: A library helps deploy machine learning models on mobile devices
tensorflow native dlls (Windows x64 cpu)
tensorflow native dlls (linux x64 gpu)
tensorflow native dlls (linux x64 cpu)
SciSharp.TensorFlow.Redist-Linux-GPU fragment 2 of version 2.11.1. This package should not be used as a single package. Please install SciSharp.TensorFlow.Redist-Linux-GPU.
SciSharp.TensorFlow.Redist-Linux-GPU fragment 3 of version 2.11.1. This package should not be used as a single package. Please install SciSharp.TensorFlow.Redist-Linux-GPU.
.NET for Android and MAUI bindings for the Android Java library 'org.tensorflow:tensorflow-lite-api'. Library description: A library helps deploy machine learning models on mobile devices
Xamarin bindings for the Android Tensorflow Mobile libraries
Emgu TF is a cross platform .Net wrapper for the Google Tensorflow library. Allows Tensorflow functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython.