hyeonmin-yun's Stars
xiaoyuxie-vico/Sci-ML-Book
lu-group/deeponet-fno
DeepONet & FNO (with practical extensions)
sjchoi86/yet-another-rl-tutorial
facebookresearch/riemannian-fm
code for "Riemannian Flow Matching on General Geometries".
Soohan-Kim/diffusion_pinn
okada39/pinn_burgers
Physics Informed Neural Network (PINN) for Burgers' equation.
jdtoscano94/Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_DeepONets
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
GDS-Education-Community-of-Practice/DSECOP
This repository contains data science educational materials developed by DSECOP Fellows.
karanprime/TDSE_PINN_Kiel
Notebook for TDSE PINN demonstration
mala-project/mala
Materials Learning Algorithms. A framework for machine learning materials properties from first-principles data.
casus/minterpy
Minterpy - Multivariate interpolation in Python.
vincentdoerig/latex-css
LaTeX.css is a CSS library that makes your website look like a LaTeX document
SciML/HelicopterSciML.jl
Helicopter Scientific Machine Learning (SciML) Challenge Problem
napsternxg/pytorch-practice
Some example scripts on pytorch
eth-nn-physics/nn_physical_concepts
jmcelve2/cheshire
Solve the Schrodinger equation for a variety of 1D and 2D potentials.
karanprime/STEMExpoCode
Code for STEM Ed Expo
mnielsen/magic_paper
Experiments in an explorable visual medium for mathematics
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
nature-of-code/noc-book
The Nature of Code book (archived repo, see README for new repo / build system!)
mevinbabuc/senti-stock
Analyse Social Networking sites to predict Stock prices
Photon-AI-Research/NeuralSolvers
Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed neural networks in pytorch.
krasserm/machine-learning-notebooks
Stanford Machine Learning course exercises implemented with scikit-learn
krasserm/machine-learning-minis
Minimalistic example code for various machine learning and deep learning topics
krasserm/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
CVC-Lab/3d_adv_mesh_pytorch3d
cocozxh/rl_3d_adv_game
scikit-geometry/scikit-geometry
Scientific Python Geometric Algorithms Library
CVC-Lab/RobustPINNs
junbinhuang/DeepRitz
Implementation of the Deep Ritz method and the Deep Galerkin method