This is your work, valued
Assistant professor at the Université de Montréal and at Mila. Machine learning for science. Open Science.
gflownet. Generative Flow Networks - GFlowNet
341linux-config-utils. Configuration files and how-to instructions of utilities for Linux
8data-aug-invariance. A pipeline for flexibly training and evaluating neural networks for image object recognition with Keras. It allows analysing the effect of data augmentation and explicit regularisation methods, as well as training with data augmentation invariance
7activelearning. Jupyter Notebook
6crystallograpy. A simple package with data structures containing crystallographic properties and their relationships, such as space groups, Wyckoff positions, etc.
3gfn-teach. Resources to teach GFlowNets
3alexhernandezgarcia.github.io. HTML
3global-salience. Code for the article "Global visual salience of competing stimuli"
2bootstrap. Examples of how to perform statistical inference using the bootstrap method
2co2ml. Data and figures for the paper "Counting Carbon: A Survey of Factors Influencing the Emissions of Machine Learning"
2ift-3710-6759-extremeweather. This is a repository for educational purposes, for the class IFT 3710/6759 - Projets (avancés) en apprentissage automatique
1phd-thesis-latex. Source files of PhD thesis written in LaTeX
1latex-simple. A simple LaTeX template for scientific papers or technical reports
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