pyre-code

Pyre-Code is a self-hosted coding practice platform for machine learning. 68 problems that walk you from implementing ReLU to building attention mechanisms, RLHF pipelines, and diffusion models. Browser-based editor with instant test feedback and reference solutions. No GPU required.

Running it yourself takes a Next.js frontend and a FastAPI backend with SQLite for progress tracking. Standard Docker setup, nothing exotic. The whole point is to run it locally or on a team server so you can practice without leaking code to a third-party platform.

ML engineers prepping for interviews or deepening their understanding of model internals will get the most from this. It's not a course or a tutorial: it's hands-on implementation practice where you write the code and the tests tell you if you're right.

The catch: 68 problems is a fixed set. No community contributions yet, no problem editor, and the difficulty curve assumes you already know Python and basic linear algebra.