dotnet/TorchSharp

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1850 stars · 228 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

TorchSharp is a .NET library providing bindings to LibTorch, the library that powers PyTorch, with a focus on tensors and a PyTorch-like API. It is a wrapper library maintained under the .NET Foundation, with companion TorchAudio and TorchVision packages.

Use cases

• train neural networks in C# or F#
• run PyTorch models from a .NET application
• perform tensor math with GPU acceleration in .NET
• load TorchScript models for inference in .NET
• build computer vision or audio ML pipelines in C#

When to choose

• you want PyTorch-style deep learning while staying in the .NET ecosystem
• you need to deploy ML inference inside existing C#/.NET services
• you prefer static typing and .NET tooling over Python

When to avoid

• you need the full PyTorch ecosystem of Python-only libraries and tooling
• you are on Intel-based macOS, which is no longer supported
• you want a fully stable API - breaking changes may occur before v1.0

Facets

library · maturity active

machine-learning deep-learning gpu-computing machine-learning deep-learning cross-platform dotnet windows libtorch pytorch tensors torchscript csharp fsharp nuget linux macos gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="dotnet/TorchSharp")