axelbohm Goto Github PK

atreus

different keybindings for the atreus keyboard

autnes_computation_analysis

Using computational methods to analyze the AUTNES 2017 dataset.

bauschke_lecture

problem set for bauschkes lecture

beyond_golden_ratio

Supplementary code for paper.

bootstrap_arch

set up a fresh arch machine

certifiable-distributional-robustness

Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

dmenu

my fork of suckless' dmenu

doom-emacs

An Emacs configuration for the stubborn martian vimmer

doom.d

My doom configuration. It is becoming too large to justify it just being part of my dotfiles.

dotfiles

all the dotfiles. managed via GNU Stow.

dotfiles-1

dots

dro

Problem set for the class on Distributionally Robust Optimization

dwm

dwm is a dynamic window manager for X. check https://dwm.suckless.org/

dwm-1

my fork of dwm (from dwm.suckless.org)

dwm-2

Luke's build of dwm

dwm-6.1

dwm (version 6.1) custom build with systray, runorraise, nextprevtag and attachaside patches

dwmblocks

Modular status bar for dwm written in c.

evil-colemak-basics

Emacs package with basic key rebindings for evil-mode with the Colemak keyboard layout

fbf-gan

This is the code associated with the paper 'Two steps at a time --- taking GAN training in stride with Tseng's method'.

graph-iso

hacktoberfest

A collection of words! :star: it if you :+1: it !

hacktoberfest2020

Make your first Pull Request and earn a free tee from GitHub!

hcc_survival

UCI Machine Learning Repository: HCC Survival Data Set

hugo-academic

📝 The website builder for Hugo. Build and deploy a beautiful website in minutes!

inception-score-pytorch

Inception Score for GANs in Pytorch

lagan-lookahead_minimax

Source code of our paper Taming GANs with Lookahead–Minmax, ICLR 2021.

maw

mnist_challenge

A challenge to explore adversarial robustness of neural networks on MNIST.