bernardo7crf Goto Github PK

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

deepxde

A library for scientific machine learning and physics-informed learning

efficient-kan

An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

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

npce

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

pinns-tf2.0

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

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.