Stars
Stream Normal Coordinate Transformation
Produce digital elevation models from bathymetry data, utilizing flow-oriented curvilinear coordinate system and anisotropic interpolation method.
A package for Gaussian random field generation in Julia
A model of advection and diffusion to determine pollution sources using a fourier GP approximation
Code Listings for the book: Optimization Algorithms. Manning Publications, 2024.
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
WASSncplot is a small tool to plot NetCDF 3D data generated with WASS on top of the original image files
Physics-informed neural networks for the Richardson-Richards equation
[ICLR2024] Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
PyTorch implementation of efficient image super-resolution models, e.g. SRCNN, ESPCN, FSRCNN, DRCN, VDSR, DRRN, EDSR, LapSRN, IDN, CARN etc.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
PDEBench: An Extensive Benchmark for Scientific Machine Learning
Interpolation routines in Pytorch.
Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
Variational Autoencoder (VAE) with Normalizing Flows
A generalized Louvain method for community detection implemented in MATLAB
UnDirected Graph Cycle Detection: C++ wrapper over Boost Graph Library (BGL)
Online variational Bayes for latent Dirichlet allocation (LDA)
Introduces basic C++ concepts to beginner users of the OpenFOAM open-source CFD libraries.
Implementation of our ICLR paper: https://openreview.net/pdf?id=By4HsfWAZ
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.