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Alexia Jolicoeur-Martineau's Projects

bayestreeprior icon bayestreeprior

R package for the simulation of the prior distribution of bayesian trees by Chipman et al. (1998).

biggan-pytorch icon biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

dciknn_cuda icon dciknn_cuda

This is the CUDA GPU implementation + Python interface (using PyTorch) of DCI. The paper can be found at https://arxiv.org/abs/1512.00442.

ffcv icon ffcv

FFCV: Fast Forward Computer Vision (and other ML workloads!)

grf icon grf

Generalized Random Forests

gxetesting icon gxetesting

Code to replicate analyses from the paper "Distinguishing differential susceptibility, diathesis-stress and vantage sensitivity: beyond the single gene and environment model". See preprint: https://psyarxiv.com/27uw8.

lavaan icon lavaan

an R package for structural equation modeling and more

legit icon legit

An R package for the Latent Environmental & Genetic InTeraction (LEGIT) model

legit_sas icon legit_sas

SAS macros for the Latent Environmental & Genetic InTeraction (LEGIT) model

maximummargingans icon maximummargingans

Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"

noharm icon noharm

Do No Harm software license - A licence for using software for good

relativisticgan icon relativisticgan

Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"

saspy icon saspy

A Python interface module to the SAS System. It works with Linux, Windows, and mainframe SAS. It supports the sas_kernel project (a Jupyter Notebook kernel for SAS) or can be used on its own.

score_sde icon score_sde

Official code for Score-Based Generative Modeling through Stochastic Differential Equations

score_sde_pytorch icon score_sde_pytorch

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

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