Pinned Repositories
ar-pde-cnn
Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs
blog-code
Code and files related to random side projects
BVtkNodes
Create and execute VTK pipelines in Blender Node Editor
kernel_smoothers
Tutorials on kernel smoothing techniques
mtheme
A modern LaTeX Beamer theme
PRML_PyTorch
Figures in PRML by Bishop recreated using PyTorch
earth2studio
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
modulus
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
modulus-sym
Framework providing pythonic APIs, algorithms and utilities to be used with Modulus core to physics inform model training as well as higher level abstraction for domain experts
transformer-physx
Transformers for modeling physical systems
NickGeneva's Repositories
NickGeneva/blog-code
Code and files related to random side projects
NickGeneva/PRML_PyTorch
Figures in PRML by Bishop recreated using PyTorch
NickGeneva/kernel_smoothers
Tutorials on kernel smoothing techniques
NickGeneva/mtheme
A modern LaTeX Beamer theme
NickGeneva/BVtkNodes
Create and execute VTK pipelines in Blender Node Editor
NickGeneva/cnn-surrogate
Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification
NickGeneva/earth2mip
Earth-2 Model Intercomparison Project (MIP) is a validation framework that enables scientists to evaluate the skill of AI models for weather and climate.
NickGeneva/earth2studio
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
NickGeneva/ecmwf-opendata
A package to download ECMWF open data
NickGeneva/FengWu
NickGeneva/go-native-netcdf
A native Go implementation of NetCDF4.
NickGeneva/modulus
A PyTorch based deep-learning toolkit for developing DL models for physical systems
NickGeneva/modulus-launch
Repo of optimized training recipes for accelerating PyTorch workflows of AI driven surrogates for physical systems
NickGeneva/modulus-sym
Repo of abstracted workflow comparable to existing numerical solvers for training data-free and data-driven AI surrogates
NickGeneva/mpi-wave
MPI implementation of a finite difference solver for the wave equation through heterogeneous media
NickGeneva/OBFMapDatabase
Map database for ori and the blind forest
NickGeneva/orle
OpenFOAM Reinforcement Learning Environment
NickGeneva/pde-surrogate
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
NickGeneva/rans-uncertainty
Uncertainty Quantification of RANS Data-Driven Turbulence Modeling
NickGeneva/TF2TradingEssentials
An extension that makes TF2 trading easier and safier