taodongwang's repositories
pysindy
A package for the sparse identification of nonlinear dynamical systems from data
databook_matlab
Matlab files with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz http://www.databookuw.com/
oq-engine
OpenQuake's Engine for Seismic Hazard and Risk Analysis
ERD2
Earthquake Responses prediction using Deep learning and Database
svise
Accompanying code for "State Estimation of a Physical System without Governing Equations"
cs230-code-examples
Code examples in pyTorch and Tensorflow for CS230
deepxde
A library for scientific machine learning and physics-informed learning
neurodiffeq
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
filterpy
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
torchdiffeq
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
PINNs-1
PyTorch Implementation of Physics-informed Neural Networks
cutde
Python CPU and GPU accelerated TDEs, over 100 million TDEs per second!
Data_Driven_Science_Python_Demos
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton
DeepSSM_SysID
Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
GMMs
A collection of ground motion model functions
okada_wrapper
MATLAB and Python wrappers of the Okada Green's functions.
EQDiscovery
Physics-informed learning of governing equations from scarce data
roses2020
File Repository for ROSES2020
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.
dominant-balance
Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2020
Awesome-Deep-Learning-Resources
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
SkyAR
Dynamic sky replacement and harmonization in videos
bbp
SCEC Broadband Platform
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!