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

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

bbp

SCEC Broadband Platform

cutde

Python CPU and GPU accelerated TDEs, over 100 million TDEs per second!

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.

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

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deepkoopman

neural networks to learn Koopman eigenfunctions

deepssm_sysid

Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.

deepxde

A library for scientific machine learning and physics-informed learning

dominant-balance

Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)

eqdiscovery

Physics-informed learning of governing equations from scarce data

erd2

Earthquake Responses prediction using Deep learning and Database

fd3d_tsn

Finite difference code for dynamic modelling of earthquake source.

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'.

gmms

A collection of ground motion model functions

gmpe-estimation

GMPE-estimation implements a one-stage estimation algorithm to estimate ground-motion prediction equations (GMPE) with spatial correlation. It also quantifies the uncertainty of spatial correlation and intensity measure predictions.

instance

kalman

Kalman filter to combine GPS and accelerometer data

learning-aftershock-location-patterns

Training, testing, evaluation codes for learning aftershock location patterns

learning-sde-from-data

linslipinv

Linear multi time-window earthquake slip inversion with k^-2 smoothing

ml_full_wave_inversion

Machine learning as seismic velocity-model building method for full-waveform inversion

mudpy

Kinematic and static rupture forward modeling and inversion code

neural-ode

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

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.

nonergodicgmm_public

okada_wrapper

MATLAB and Python wrappers of the Okada Green's functions.

openhvsr-processing-toolkit

OpenHVSR-Processing-Toolkit: Signal processing of microtremor (HVSR, Nakamura method)