Exploring Molecular Space with Deep Generative Models and Python

Loading

Follow to receive video recommendations   a   A


How can we make molecules tailored to a specific problem?​ ​This talk is about how we are tackling this challenge from a computational side using python tools. We will be showcasing two tools developed in the Aspuru-Guzik lab for this task, the chemical variational auto-encoder (https://github.com/aspuru-guzik-group/chemical_vae), and ORGANIC (https://github.com/aspuru-guzik-group/ORGANIC).

Editors Note:

I would like to work with open source projects to create a branch of the tree with all of the best videos for your open source project. Please send me an email if you are interested.