Cant – Library written in Rust that provides PyTorch-like functionality
Hey! This is something i have been working on. A tiny neural networking lib to learn how something like pytorch works, and to improve my own coding standards.
Cant – Library written in Rust that provides PyTorch-like functionality launched on July 27, 2025 with 50 votes, #575 of 9,223 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
Cant is a neural networking library written in Rust that provides PyTorch-like functionality. It is designed for developers interested in understanding how machine learning frameworks work internally. The library serves as both a learning tool for exploring neural network implementation and a project for improving coding practices in Rust.
written from the facts on this page · September 2026
From the sources
Clean, simple, hackable ml framework in rust. Supports metal and cuda - TuckerBMorgan/can-t
██████╗ █████╗ ███╗ ██╗████████╗ ██╔════╝██╔══██╗████╗ ██║╚══██╔══╝ ██║ ███████║██╔██╗ ██║ ██║ ██║ ██╔══██║██║╚██╗██║ ██║ ╚██████╗██║ ██║██║ ╚████║ ██║ ╚═════╝╚═╝ ╚═╝╚═╝ ╚═══╝ ╚═╝ Cant A machine learning library written in Rust that provides PyTorch-like functionality with automatic differentiation and tensor operations. Designed as a learning project to understand ML concepts from the ground up. # Run tests cargo test # Build the project cargo build # Format code (required before commits) rustfmt src/ ** / * .rs crates/ ** / * .rs Code Coverage # Generate coverage report cargo llvm-cov --html open target/llvm-cov/html/index.html Architecture Core Components ( src/central/ ) tensor.rs -…from github.com
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