Jean Ragusa's repositories
18337
18.337 - Parallel Computing and Scientific Machine Learning
blender_triangle
Blender Add-On for Jonathan Richard Shewchuk's Triangle1.6
bluefog
Distributed and decentralized training framework for PyTorch over graph
chi-ip
IP for DFEM diffusion in chi-tech
chi-tech
Large scale scientific simulation engine
chi-tech.github.io
ChiTech documentation
chi2-whitepapers
A place where I keep documents that can be referenced
greenlearning
Learning Green's functions of partial differential equations with deep learning.
High_Order_DIRK_Methods_Coeffs
Very High-Order A-stable Stiffly Accurate Diagonally Implicit Runge-Kutta Methods with Error Estimators
HxF
Hyperfidelity depletion tool with Serpent/Cerberus for pebble bed reactors
hyper_reduction
Hyper reduction for the heat conduction equation
NeuralPDE.jl
Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Njoy2ChiConverter
Converts NJoy output to Chi-Tech
nl_manifolds
Learning data-driven nonlinear manifolds in high-dimensional state spaces
numpy-ml
Machine learning, in numpy
opensn
open-source Sn software
pinn
codes for PINNs
python-cheatsheet
Comprehensive Python Cheatsheet
quad_manifold
Supporting codes for the numerical implementations in the paper "Operator inference for non-intrusive model reduction with quadratic manifolds" by Rudy Geelen, Stephen Wright and Karen Willcox
rom-operator-inference-Python3
Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.
TensorDiffEq
Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing
test_git_colab
testing github on colab
wasserstein-hydro-density-recons
LANL hydro project wasserstein-hydro-density-recons
zachH-pyPDEs
Python module for solving PDEs