Free, open-source Beamer slide decks and code for Machine Learning, Deep Learning, NLP, Generative AI, Maths for ML, and Python, from 1-hour seminars to full courses. Everything here, including slides, code, and notes, has been built by learning from, and citing, the best public material available, and is given back under an open license so anyone can teach, learn, or build on it.
The Ultimate Hands-On OWASP LLM Top 10 Training Platform Learn • Exploit • Defend A deliberately-vulnerable, CTF-style training range for the OWASP Top 10 for LLM Applications (2025) — WebGoat / KubeGoat, but for AI. 25 labs across three tiers: ten core one-per-category labs; ten advanced, multi-turn labs (jailbreaking, data poisoning, agent exploitation, model extraction); and five expert labs modelling real-world attack classes.
This monorepo contains a set of dev-friendly, framework agnostic components offering 3 main capabilities: Framework integration packages: The library offers a set of small, focused building blocks. Purpose: turn messy model output into typed PHP data.
Free, open-source Beamer slide decks and code for Machine Learning, Deep Learning, NLP, Generative AI, Maths for ML, and Python, from 1-hour seminars to full courses. Everything here, including slides, code, and notes, has been built by learning from, and citing, the best public material available, and is given back under an open license so anyone can teach, learn, or build on it.
The Ultimate Hands-On OWASP LLM Top 10 Training Platform Learn • Exploit • Defend A deliberately-vulnerable, CTF-style training range for the OWASP Top 10 for LLM Applications (2025) — WebGoat / KubeGoat, but for AI. 25 labs across three tiers: ten core one-per-category labs; ten advanced, multi-turn labs (jailbreaking, data poisoning, agent exploitation, model extraction); and five expert labs modelling real-world attack classes.
This monorepo contains a set of dev-friendly, framework agnostic components offering 3 main capabilities: Framework integration packages: The library offers a set of small, focused building blocks. Purpose: turn messy model output into typed PHP data.