Anothony's Stars
openai/guided-diffusion
janosh/awesome-normalizing-flows
Awesome resources on normalizing flows.
jmtomczak/intro_dgm
"Deep Generative Modeling": Introductory Examples
VincentStimper/normalizing-flows
PyTorch implementation of normalizing flow models
PruneTruong/DenseMatching
Dense matching library based on PyTorch
TeaPearce/Conditional_Diffusion_MNIST
Conditional diffusion model to generate MNIST. Minimal script. Based on 'Classifier-Free Diffusion Guidance'.
emited/VariationalRecurrentNeuralNetwork
Pytorch implementation of the Variational Recurrent Neural Network (VRNN).
VinAIResearch/LFM
Official PyTorch implementation of the paper: Flow Matching in Latent Space
JTT94/diffusion_schrodinger_bridge
PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.
locuslab/cfd-gcn
psu-efd/pyHMT2D
Python Hydraulic Modeling Tools - 2D
thetisproject/thetis
Finite element flow solver for simulating coastal and estuarine flows.
necludov/jam
Implementation of Action Matching
twhughes/Adjoint-Workshop
Gentle introduction and demo of the adjoint variable method for electromagnetic inverse design
MartinIsoz/openHFDIB-DEM
OpenFOAM library for fully coupled particle laden flows with arbitrarily shaped solids
christina-winkler/cnfs-super-resolution
Master thesis for the MSc. Artificial Intelligence at the University of Amsterdam, 2019. Topic: Super-resolution with Conditional Normalizing Flows.
Kunqian123/DeepFloodPrediction
jwallwork23/adapt_utils
Mesh adaptation utilities for coastal ocean modelling in Firedrake and Thetis.
gena/paper-osm-2015
piyueh/TorchSWE
A GPU shallow-water equation (SWE) solver
Mathepia/awesome-sciml
Awesome-spatial-temporal-scientific-machine-learning-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included.
cpraveen/nuwtun
DassHydro/dassflow2d
Data Assimilation for Free Surface Flows : Shallow-Water like systems for river networks and floodplains.
Artelia/Mascaret
Pre and Post Processing for Mascaret
sriharikrishna/siamcse23
Resources for the SIAMCSE23 minitutorial "Integrating Scientific Simulations with Machine Learning Algorithms"
jp2011/bip-pde-vi
Codes for performing variational inference for Bayesian Inverse Problems that involve PDEs.
mc4117/morphodynamic_model
The accompanying code for the paper "Hydro-morphodynamics 2D modelling using a discontinuous Galerkin discretisation" submitted to Computers & Geosciences
BrisaDavis/adjoint
For code to support AMR flagging based on solution of an adjoint PDE
jwallwork23/adapt_utils_notebooks
paulindani/shallowwater