Skip to content

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

256 Commits
 
 
 
 
 
 

Repository files navigation

Machine Learning for Molecular Engineering (3.C01/3.C51, 7.C01/7.C51, 10.C01/10.C51, 20.C01/20.C51)

Materials and problem sets for the course Machine Learning for Molecular Engineering taught at MIT.

Instructors (cumulative): Prof. Connor Coley, Prof. Rafael Gomez-Bombarelli, Prof. Ernest Fraenkel, Prof. Joey Davis, Prof. Sergey Ovchinnikov

Warning: These assignments are continually being revised and may change. Do not start working on an assignment until it has been released on Canvas.

About

Materials for the course Machine Learning for Molecular Engineering (3/7/10/20.C01/C51)

Resources

Stars

31 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages