Interactive Tutorials#
This page provides access to interactive Jupyter notebook tutorials from the NIST AFL-tutorial repository. These tutorials are designed to run directly in Google Colab without any installation required.
ID |
Description |
Instructor Version |
Student Version |
|---|---|---|---|
01 |
Introduction to small-angle scattering and the concept of phase mapping |
||
02 |
Building decision pipelines (AI agents) using scikit-learn |
||
03 |
Building decision agents with the AFL.double_agent library (Under Development) |
🚧 Under Development |
🚧 Under Development |
C1 |
Challenge: Build an agent that tolerates measurement noise |
N/A |
|
C2 |
Challenge: Discover the boundaries of multiple phases |
N/A |
|
C3 |
Challenge: Handle second order (continuous) phase transitions |
N/A |
|
CX |
Ideas and inspiration for the challenges |
N/A |
About the Tutorials#
The goal of these tutorials is to introduce the software tools developed to run the Autonomous Formulation Lab. They introduce AI agent software (AFL.double_agent) and show how it can be used to build decision pipelines. The notebooks leverage widely used open source libraries (scikit-learn) and the AFL.double_agent library for building decision pipelines.
These tutorials are highly interactive, making them suitable for both self-paced learning and guided tutorial presentation settings.
Notebook Versions#
Student Notebooks: These notebooks are designed for guided tutorial presentations. They have sections of the code removed that are meant to be filled in by the active participants.
Instructor Notebooks: These notebooks contain the complete code solutions and are intended for instructors or for self-paced learning.