Automating Free Probability Theory (FPT) Computations for Machine Learning Theory

A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

Diffprivlib: The IBM Differential Privacy Library

Python library for adversarial machine learning (evasion, extraction, poisoning, verification, certification) with attacks and defences for neural networks, logistic regression, decision trees, SVM…

Deep recommender models using PyTorch.

scikit-learn: machine learning in Python

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

Preprocessing scripts for neuro imaging

sources for my PhD thesis

Python Optimal Transport library

Modeling and statistical inference on fMRI data in Python

PyTorch Tutorial for Deep Learning Researchers

Randomized online matrix factorization

Convert graphs generated by Graphviz to LaTeX friendly formats

NeuroImaging with the Scikit-learn: fMRI inverse inference tutorial

Nilearn tutorials for OHBM 2016 educational course

This is the implementation of the Recursive Nearest (Neighbor) Agglomeration