dallasfoster
Deep Learning Software Engineer @NVIDIA Interested in weather, climate, and uncertainty quantification.
Massachusetts Institute of Technology
Pinned Repositories
dallasfoster.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
DPPExperiments
Repository of experiments using determinantal point processes (DPPs) for data curation in fitting machine learning interatomic potentials (ML-IAPs).
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
Yggdrasil
Collection of builder repositories for BinaryBuilder.jl
Yggdrasil
Collection of builder repositories for BinaryBuilder.jl
modulus
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
modulus-makani
Massively parallel training of machine-learning based weather and climate models
dallasfoster's Repositories
dallasfoster/dallasfoster.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
dallasfoster/DPPExperiments
Repository of experiments using determinantal point processes (DPPs) for data curation in fitting machine learning interatomic potentials (ML-IAPs).
dallasfoster/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.
dallasfoster/earth2studio
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
dallasfoster/modulus
A PyTorch based deep-learning toolkit for developing DL models for physical systems
dallasfoster/modulus-launch
Repo of optimized training recipes for accelerating PyTorch workflows of AI driven surrogates for physical systems
dallasfoster/Yggdrasil
Collection of builder repositories for BinaryBuilder.jl