alxyok's repositories
ai-physics
This project contains a collection of deep learning models developed by the AI4Sim team with various partners. This is is structured on the basis of use-cases providing canonical PyTorch Lightning pipelines allowing to train neural network models that are able to surrogate various physical processes.
alxyok
main()
argo-jupyter-scheduler
Extending Jupyter-Scheduler to use Argo-Workflows as a backend.
forkane
An experiment with Netflix's Metaflow framework.
kosmoss
Bootcamps for Deep Learning applied to a Weather Forecast UC: a) large dataset preprocessing, b) multi-node multi-GPU neural models training, and c) hyper-optimization
ransplacement
Rewrite of dataset build + model implementation + training logic from DDTM article by Ryley et al.
synthesis
A compilation of my understanding of deep learning applied to numerical simulation.
twitter-the-algorithm
Source code for Twitter's Recommendation Algorithm