Pinned Repositories
FourCastNet_Henrique
Initial public release of code, data, and model weights for FourCastNet
e2workshop
earth2mip
Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to explore and experiment with AI models for weather and climate.
earth2studio
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
modulus
A PyTorch based deep-learning toolkit for developing DL models for physical systems
modulus-launch
Repo of optimized training recipes for accelerating PyTorch workflows of AI driven surrogates for physical systems
modulus-sym
Repo of abstracted workflow comparable to existing numerical solvers for training data-free and data-driven AI surrogates
modulus
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
earth2mip
Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI models for weather and climate.
earth2studio
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
mariusaurus's Repositories
mariusaurus/earth2studio
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
mariusaurus/modulus
A PyTorch based deep-learning toolkit for developing DL models for physical systems
mariusaurus/e2workshop
mariusaurus/earth2mip
Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to explore and experiment with AI models for weather and climate.
mariusaurus/modulus-launch
Repo of optimized training recipes for accelerating PyTorch workflows of AI driven surrogates for physical systems
mariusaurus/modulus-sym
Repo of abstracted workflow comparable to existing numerical solvers for training data-free and data-driven AI surrogates
mariusaurus/FourCastNet_Henrique
Initial public release of code, data, and model weights for FourCastNet