Ceyron/machine-learning-and-simulation

All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)

61
/ 100
Established

This project compiles comprehensive notes and code files that explain the mathematical foundations and implementation techniques for machine learning and scientific simulations. It provides clear explanations, often with handwritten notes, for complex topics. Engineers, scientists, and researchers working with advanced computational models would benefit from these resources.

1,158 stars.

Use this if you need to understand the underlying mathematics and implementation details for machine learning algorithms or scientific simulations, such as fluid dynamics or structural mechanics.

Not ideal if you are looking for a plug-and-play software tool or a high-level overview without delving into mathematical derivations and programming specifics.

computational-mechanics fluid-dynamics-simulation machine-learning-engineering numerical-analysis scientific-computing
No Package No Dependents
Maintenance 10 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 25 / 25

How are scores calculated?

Stars

1,158

Forks

223

Language

Jupyter Notebook

License

MIT

Last pushed

Feb 14, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/Ceyron/machine-learning-and-simulation"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.