briandesilva

Amath586

briandesilva.github.io

My academic website

data-challenge-example

This repository houses examples showing how to work with data from the model discovery challenge

discovery-of-physics-from-data

Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"

PyDMD

Python Dynamic Mode Decomposition

scikit-time

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

pykoopman

A package for computing data-driven approximations to the Koopman operator.

pysensors

PySensors is a Python package for sparse sensor placement

pysindy

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

briandesilva/discovery-of-physics-from-data

Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"

briandesilva/PyDMD

Python Dynamic Mode Decomposition

briandesilva/Amath586

briandesilva/transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

briandesilva/briandesilva.github.io

My academic website

briandesilva/data-challenge-example

This repository houses examples showing how to work with data from the model discovery challenge

briandesilva/scikit-time

Python library for analysis of time series data including dimensionality reduction, clustering, and Markov model estimation

briandesilva/sharpy

Simulation of High Aspect Ratio aeroplanes in Python: a nonlinear aeroelastic code

briandesilva/website

briandesilva/academic_website

briandesilva/AMath582

briandesilva/sail_force_winds

A simple interactive visualization for understanding the forces that make sailing possible.