awesome-machine-learning-for-discovery-of-physical-laws
github.com/usccolumbia/awesome-machine-learning-for-discovery-of-physical-laws ↗A curated list of awesome resources on using machine learning and data science for discovery of physical laws
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GitHub Stars
103
Curated Resources
15
Categories
21 hours ago
Last Refreshed
Reading list to get inspiredExemplary research worksSurvey/Review papersCausal relationship learning/discoveryUncertainty quantificationActive learning for experiments designDeep learning resources'Dimension reductionConferences and Workshops relatedJournalssoftware toollsTutorialsResources for studentsBlogsLinks
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Installation instructions →What's inside
Reading list to get inspired
Resources for students
- Advice for Graduate Students
Aaron Hertzmann (Adobe Research)
- Common mistakes in technical writing
Wojciech Jarosz (Dartmouth College)
- Designing conference posters
Colin Purrington
- Five Principles for Choosing Research Problems in Computer Graphics
Thomas Funkhouser (Cornell University)
- Giving a Research Talk
Frédo Durand (MIT)
- Good Writing
Marc H. Raibert (Boston Dynamics, Inc.)
software toolls
Blogs
- AI Shack
Utkarsh Sinha
- Andrej Karpathy blog
Andrej Karpathy
- Computer Vision Basics with Python Keras and OpenCV
Jason Chin (University of Western Ontario)
- Computer vision for dummies
Vincent Spruyt
- Computer Vision Talks
Eugene Khvedchenya
- Learn OpenCV
Satya Mallick
Survey/Review papers
Exemplary research works
Links
Dimension reduction
Showing a sample of 103 resources. View the full list on GitHub →