Alexia Jolicoeur-Martineau
I build generative AI for images, videos, text, tabular data, NN weights, molecules, and video game
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About
Alexia Jolicoeur-Martineau works in AI engineering, based in Montréal, Qc, Canada. I build generative AI for images, videos, text, tabular data, NN weights, molecules, and video game. Public projects on GitHub include Deep-learning-with-cats (Deep learning with cats (^._.^)), MaximumMarginGANs (Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin") and Generative-model-most-similar-images (Function that output the 5 most similar training (real) images to the given generated (fake) images), mostly written in Python, R and Jupyter.
Projects 6
Deep-learning-with-cats
Deep learning with cats (^._.^)
github.com- github.com
MaximumMarginGANs
Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"
Generative-model-most-similar-images
Function that output the 5 most similar training (real) images to the given generated (fake) images.
github.comRelativisticGAN
Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"
github.comAdversarialConsistentScoreMatching
Code for paper "Adversarial score matching and improved sampling for image generation"
github.com- github.com
Score Sde Fast Sampling
Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper