andgoldschmidt

derivative

Optimal numerical differentiation of noisy time series data in python.

MPC4quantum

Model predictive control for robust quantum state preparation

CSE-546

Homeworks for CSE-546 (Machine learning)

pyprotoclust

Python Prototype Clustering: an implementation of minimax linkage for hierarchical clustering

dmdlab

Dynamic Mode Decomposition in Python

biDMD-for-quantum

Code for the paper Bilinear Dynamic Mode Decomposition for Quantum Control

DMD

[Deprecated - go to my dmdlab repository]

JAX-Controls-Quantum

Trajectory optimization (indirect with iLQR, direct with SQP), model predictive control, and additional tools for quantum optimal control.

cartpole

Control theory basics using a rigid pendulum fixed to a cart (with jupyter notebook movies!)

andgoldschmidt.github.io

iEBE

The iEBE package is a convenience package to automate event-by-event hydro + hadron cascade hybrid calculations in relativistic heavy-ion collisions. To use trento-dev branch, include --recursive after clone.

interpolation-imsa

model-discovery

[you want the package from the Kutz group at UW, not this - see link] Sparse Identification of Nonlinear Dynamical Systems (SINDy)

multiscale_HiTS

NamedTrajectories.jl

Efficient Handling of Trajectories with User Defined Named Components

pysindy

A package for the sparse identification of nonlinear dynamical systems from data

qc-demos

QuantumCollocation.jl

Quantum Optimal Control with Direct Collocation

reaction-diffusion

A playground for reaction-diffusion systems and pattern formation

sampling-based-robustness

SMC_Methods

From Sequential Monte Carlo Methods in Practice

starter-hugo-academic

🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.

trento

Heavy-ion collision initial condition model