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.config

Configuration for every convenience tool.

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.

aiphysx

Presentation of AI for Physics simulation. Pieces of knowledge accumulated over the years and serialized so nothing is lost.

alxyok

main()

alxyok.github.io

argo-jupyter-scheduler

Extending Jupyter-Scheduler to use Argo-Workflows as a backend.

burgers

Neural solver to compute solutions to Burger's equation. 1D + 3D.

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

kubeebox

mlops-on-gcp

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

westworld

Broken, unusable, useless, but fun code.