LaurentMazare/tch-rs

Health v2 · maintenance only

Adoption not part of the score

5479 stars · 447 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

tch-rs is a Rust crate providing thin bindings to the C++ API of PyTorch (libtorch), staying close to the original API. It enables tensor operations and neural network training/inference in Rust with optional CUDA support.

Use cases

• train neural networks in rust
• run pytorch models from rust
• tensor computations in rust
• deep learning inference without python
• gpu-accelerated machine learning in rust
• port pytorch code to rust

When to choose

• you want PyTorch's tensor and autograd capabilities in a Rust program
• you need to deploy models in Rust without a Python runtime
• you want low-level, close-to-libtorch control

When to avoid

• you want highly idiomatic Rust ML APIs rather than C++-style bindings
• you need a pure-Rust implementation without libtorch dependencies
• you primarily work in Python

Facets

library · maturity active

machine-learning deep-learning llm-training gpu-computing machine-learning deep-learning artificial-intelligence rust windows pytorch libtorch tensors neural-networks bindings linux macos gpu

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For agents

markdown · JSON · MCP: product_card(name="LaurentMazare/tch-rs")