kochgroup/intro_pharma_ai
A collection of Jupyter Notebooks that are designed to teach life science students about deep learning.
This collection of Jupyter Notebooks helps life science students, especially those in pharmaceutical and chemistry fields, learn the basics of deep learning. It starts with fundamental coding concepts like Python and cheminformatics, then progresses to neural networks and advanced AI techniques. You'll input your time and curiosity, and come out with a foundational understanding of how AI can be applied in your domain.
163 stars. No commits in the last 6 months.
Use this if you are a life science student with no prior coding experience and want to learn how artificial intelligence can be applied in chemistry and pharmacology.
Not ideal if you are an experienced programmer or already have a solid understanding of deep learning concepts and their application in life sciences.
Stars
163
Forks
35
Language
Jupyter Notebook
License
—
Category
Last pushed
Sep 09, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/kochgroup/intro_pharma_ai"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Marktechpost/AI-Tutorial-Codes-Included
Codes/Notebooks for AI Projects
microsoft/AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
airbus/scikit-decide
AI framework for Reinforcement Learning, Automated Planning and Scheduling
papagiannakis/Elements
Project Elements: A computational entity-component-system in a scene-graph pythonic framework,...
nearai/program_synthesis
Program Synthesis