dohmatob

gambling

Code for paper "A simple algorithm for computing Nash-equilibria in incomplete information games"

DOHMATOB_CV

Up-to-date verion of my CV, so I can grab it from anywhere effortlessly

pyaffineprep

Preprocessing of single-subject MRI images in pure Python!

StrongNoFreeLunchForAR

multiple-descent-robustness

differential-privacy-library

Diffprivlib: The IBM Differential Privacy Library

dohmatob.github.io

My blog (powered by jekyll)

mydotemacs

This repo is kept sync'ed with all my emacs configurations, everywhere I go :)

optimal_transport

My ramblings on (algorithmic) optimal transport.

ReNA

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

thesis

sources for my PhD thesis

scikit-learn

scikit-learn: machine learning in Python

adversarial-robustness-toolbox

Python library for adversarial machine learning (evasion, extraction, poisoning, verification, certification) with attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support

boras2021

darkcontrol

dot2tex

Convert graphs generated by Graphviz to LaTeX friendly formats

lectures-labs

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

modl

Randomized online matrix factorization

nilearn

NeuroImaging with the Scikit-learn: fMRI inverse inference tutorial

nilearn_tutorials

Nilearn tutorials for OHBM 2016 educational course

nistats

Modeling and statistical inference on fMRI data in Python

Pipelines

POT

Python Optimal Transport library

predictive-analytics-competition

pyml_experiments

pypreprocess

Preprocessing scripts for neuro imaging

pytorch-playground

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

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

spacemacs

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

spotlight

Deep recommender models using PyTorch.