TensorFlowSharp VS DotMLBooks

Compare TensorFlowSharp vs DotMLBooks and see what are their differences.

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TensorFlowSharp DotMLBooks
2 1
3,128 1
- -
0.0 0.0
4 months ago over 2 years ago
C#
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

TensorFlowSharp

Posts with mentions or reviews of TensorFlowSharp. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-04.

DotMLBooks

Posts with mentions or reviews of DotMLBooks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-17.

What are some alternatives?

When comparing TensorFlowSharp and DotMLBooks you can also consider the following projects:

TensorFlow.NET - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.

TorchSharp - A .NET library that provides access to the library that powers PyTorch.

NumSharp - High Performance Computation for N-D Tensors in .NET, similar API to NumPy.

OneOf - Easy to use F#-like ~discriminated~ unions for C# with exhaustive compile time matching

Mahou - Mahou(魔法) - The magic layout switcher.

MVVMCross - The .NET MVVM framework for cross-platform solutions, including Android, iOS, MacCatalyst, macOS, tvOS, WPF, WinUI

Elasticsearch .NET - This strongly-typed, client library enables working with Elasticsearch. It is the official client maintained and supported by Elastic.

SciSharp-Stack-Examples - Practical examples written in SciSharp's machine learning libraries

infer - Infer.NET is a framework for running Bayesian inference in graphical models