TorchSharp VS NumSharp

Compare TorchSharp vs NumSharp and see what are their differences.

TorchSharp

A .NET library that provides access to the library that powers PyTorch. (by dotnet)

NumSharp

High Performance Computation for N-D Tensors in .NET, similar API to NumPy. (by SciSharp)
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TorchSharp NumSharp
5 4
1,254 1,314
4.0% 1.2%
9.5 3.3
5 days ago 5 months ago
C# C#
MIT License Apache License 2.0
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.

TorchSharp

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

NumSharp

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

What are some alternatives?

When comparing TorchSharp and NumSharp 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#.

csharpier - CSharpier is an opinionated code formatter for c#.

TensorFlowSharp - TensorFlow API for .NET languages

onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Pandas.NET - Pandas port for C# and F#, data analysis tool, process multi-dim array in DataFrame.

DotMLBooks

nerfstudio - A collaboration friendly studio for NeRFs

orange - ๐ŸŠ :bar_chart: :bulb: Orange: Interactive data analysis

ParquetSharp.DataFrame - ParquetSharp.DataFrame is a .NET library for reading and writing Apache Parquet files into/from .NET DataFrames, using ParquetSharp