lululxvi/tutorials

Tutorials on deep learning, Python, and dissipative particle dynamics

41
/ 100
Emerging

This collection offers educational materials and presentations on deep learning, Python programming, and dissipative particle dynamics. It provides insights and practical knowledge through lectures, code demonstrations, and videos, designed to help scientists and engineers understand and apply these advanced computational methods in their work.

211 stars. No commits in the last 6 months.

Use this if you are a scientist or engineer looking for structured tutorials to learn about deep learning concepts, Python programming, or dissipative particle dynamics.

Not ideal if you need a software library or tool for direct integration into an existing project rather than learning materials.

scientific-computing computational-physics materials-science numerical-methods engineering-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 23 / 25

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Stars

211

Forks

68

Language

Jupyter Notebook

License

—

Category

deep-learning-textbooks

Last pushed

Jul 17, 2022

Commits (30d)

0

GitHub
Deep Learning Textbooks · 253 frameworks

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