bernardo7crf

deepxde

A library for scientific machine learning and physics-informed learning

PINNs-TF2.0

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

AM205_final

Solving ODE by artificial neural networks

AST5220---to-study-

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

BHs_moving

CA_meetings2023

Computational Astrophysics group meetings 2023

Cython_Filter_Files

harmonic-oscillator-pinn

Code accompanying my blog post: So, what is a physics-informed neural network?

Inflation

Fisher Matrix codes for cosmological and inflationary parameters.

MCMC_Parameter_Estimator

MCMC algorithm to estimate cosmological parameters using supernova Ia data

ML_ODE

A Machine Learning model to solve an Ordinary Differential Equation

Multilayer-Perceptron-for-ODE

Artificial Neural Network to Solve System Of ODEs and Schwarzschild Solution for bound orbit

Neural-Network-Approximation-of-ODEs

Neural-Network-for-Differential-Equation

Sources of my term paper for differential equations calss, developed during my study at Shirak State University

NN_ODE

Neural networks usage for solving first and second order differential equasion

ODEN

Repository of the code ODEN which solves ODEs with neural networks

performance-engineering

Physics-Informed-Neural-Networks

Investigating PINNs

PINNs

Physics Informed Neural Networks

SurrogateModelling

Matlab scripts for simplified use of UQLab (cf. uqlab.com)

Toy-neural-networks-in-pytorch

Several implementations of toy neural networks using manual gradient descent, stochastic variational inference, neural ODEs, and torch.nn.