18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

The fastai deep learning library

Python programs, usually short, of considerable difficulty, to perfect particular skills.

A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

Lab Materials for MIT 6.S191: Introduction to Deep Learning

The textbook Computational and Inferential Thinking: The Foundations of Data Science

Build 12 Data Apps in Python with Streamlit

An interactive Quiz generator for Jupyter notebooks and Jupyter Book

Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics

Fourier modal method with Jax

Github repository to share some insights about lithography simulation.

S + Autograd + XLA :: S-parameter based frequency domain circuit simulations and optimizations using JAX.

Animated flashcards for Jupyter notebooks and JupyterBook

Pure Julia implementation of the finite difference frequency domain (FDFD) method for electromagnetics

A local rag demo

testbed problems for photonics optimization

Photonic circuit network simulator

Calculate the real part of the dielectric function from the imaginary part

Practical example from the SPIE short course "Data Analytics and Machine Learning in Semiconductor Manufacturing: Applications for Physical Design, Process and Yield Optimization"

training for gdsfactory

Electronic book for ME 373

Arrayed Waveguide Grating (AWG) model and simulation in Python

A trace formula for inverse design with random emissions in nanophotonics

PHP page that provides a list of unscheduled BYU classrooms for the rest of the day. Probably the hackiest thing I've done.

Demo for the OFC Lab Automation Hackathon