Elvis Dohmatob
dohmatob
Scientist at Facebook AI Research. Phd. Computer Science, Paris XI. Msc. Cryptology, the ALGANT european program, Bordeaux 1.
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Top Repositories
Code for paper "A simple algorithm for computing Nash-equilibria in incomplete information games"
Code related to calculatibility: The optimal scientist (aka Goedel machine), probabilistic lambda-calculus, computational cognitive neuroscience, QECCs (quantum error-correcting codes) etc.
pyHANSO: Python Implementation of Michael Overton's HANSO (Hybrid Algorithm for Non-Smooth Optimization)
Preprocessing of single-subject MRI images in pure Python!
Up-to-date verion of my CV, so I can grab it from anywhere effortlessly
A static library for detouring win32 APIs and asm instruction stubs alike.
Repositories
79scikit-learn: machine learning in Python
Automating Free Probability Theory (FPT) Computations for Machine Learning Theory
Preprocessing of single-subject MRI images in pure Python!
No description provided.
Up-to-date verion of my CV, so I can grab it from anywhere effortlessly
A static library for detouring win32 APIs and asm instruction stubs alike.
Code related to calculatibility: The optimal scientist (aka Goedel machine), probabilistic lambda-calculus, computational cognitive neuroscience, QECCs (quantum error-correcting codes) etc.
My blog (powered by jekyll)
pyHANSO: Python Implementation of Michael Overton's HANSO (Hybrid Algorithm for Non-Smooth Optimization)
Deep Reinforcement Learning for Keras.
A proof-of-concept Python implementation of the (symmetric) log-domain diffeormorphic demons algorithm
No description provided.
A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!
Algorithms for graph theory problems
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
Diffprivlib: The IBM Differential Privacy Library
Code for paper "A simple algorithm for computing Nash-equilibria in incomplete information games"
Python Optimal Transport library
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
Modeling and statistical inference on fMRI data in Python
Python implementation of the 2048 game http://2048game.com/
Event-driven organic spider-like auditor for mobile telephony & telco infrastructure
No description provided.
Kernels for SVMs and other kernel-based classifiers
No description provided.
Hidden Markov Models
My ramblings on (algorithmic) optimal transport.
No description provided.
Deep recommender models using PyTorch.
Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay