dohmatob

calculability

Code related to calculatibility: The optimal scientist (aka Goedel machine), probabilistic lambda-calculus, computational cognitive neuroscience, QECCs (quantum error-correcting codes) etc.

DOHMATOB_CV

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

gambling

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

half-jiffie

linux kernel-space p-o-c rootkit

HMM

Hidden Markov Models

inlinedetours

A static library for detouring win32 APIs and asm instruction stubs alike.

kernels

Kernels for SVMs and other kernel-based classifiers

pyaffineprep

Preprocessing of single-subject MRI images in pure Python!

pyHANSO

pyHANSO: Python Implementation of Michael Overton's HANSO (Hybrid Algorithm for Non-Smooth Optimization)

scikit-learn

scikit-learn: machine learning in Python

dohmatob/gambling

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

dohmatob/DOHMATOB_CV

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

dohmatob/pyaffineprep

Preprocessing of single-subject MRI images in pure Python!

dohmatob/StrongNoFreeLunchForAR

dohmatob/multiple-descent-robustness

dohmatob/differential-privacy-library

Diffprivlib: The IBM Differential Privacy Library

dohmatob/dohmatob.github.io

My blog (powered by jekyll)

dohmatob/mydotemacs

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

dohmatob/optimal_transport

My ramblings on (algorithmic) optimal transport.

dohmatob/ReNA

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

dohmatob/thesis

sources for my PhD thesis

dohmatob/scikit-learn

scikit-learn: machine learning in Python

dohmatob/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

dohmatob/boras2021

dohmatob/darkcontrol

dohmatob/dot2tex

Convert graphs generated by Graphviz to LaTeX friendly formats

dohmatob/lectures-labs

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

dohmatob/modl

Randomized online matrix factorization

dohmatob/nilearn

NeuroImaging with the Scikit-learn: fMRI inverse inference tutorial

dohmatob/nilearn_tutorials

Nilearn tutorials for OHBM 2016 educational course

dohmatob/nistats

Modeling and statistical inference on fMRI data in Python

dohmatob/Pipelines

dohmatob/POT

Python Optimal Transport library

dohmatob/predictive-analytics-competition

dohmatob/pyml_experiments

dohmatob/pypreprocess

Preprocessing scripts for neuro imaging

dohmatob/pytorch-playground

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

dohmatob/pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

dohmatob/spacemacs

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

dohmatob/spotlight

Deep recommender models using PyTorch.