Machine learning resources and tools

A local workspace that turns coding agents such as Claude Code, Codex, OpenCode or Cursor into research assistants: reviewing literature, proposing a hypothesis, changing code, launching an experiment and deciding what to try next.

Find college-level computer science courses with video lectures, sorted by topic.

Browse and copy community prompts that work with ChatGPT, Claude, Gemini and others.

Get text answers from the huge Kimi K3 AI model using one CPU and no graphics card.

Send sign-ups, logins, orders and payouts and get an approve, step up, review or block decision with reasons.

Higgsfield is an open-source framework for training very large neural networks — the kind with billions to trillions of parameters, such as large language models — across many computers at once, a process the project's own documentation describes as normally involving a lot of manual, error-prone setup ("multi node training without crying").

The Python library that defines how open models are written down, covering text, images, audio, video and combinations of them, for both running a model and training one.

Apply image filters, warps, augmentations and feature matching as differentiable PyTorch operations.

YuE2 is a music generation system that writes a song in two visible steps: given lyrics and a style description, it first produces a melody-and-chord plan in ordinary notation, then turns that plan into finished audio with vocals and backing.

Scan or upload bills, receipts and contracts and turn them into an archive you can search by any word inside them.

Learn to build AI apps through example projects, from reading text in images to chatting with your documents.

Supervision is a Python library of the parts that sit around a computer vision model rather than inside it: loading datasets, drawing boxes and masks, tracking an object across frames, counting what crosses a zone, and measuring how well a model did.

Learn to build AI systems yourself, from the math behind models to retrieval pipelines and agents, by writing and running real code.