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Timo Kaufmann's Projects

aim icon aim

Aim 💫 — easy-to-use and performant open-source ML experiment tracker.

autorandr icon autorandr

Auto-detect the connect display hardware and load the appropriate X11 setup using xrandr

avalon icon avalon

A 3D video game environment and benchmark designed from scratch for reinforcement learning research

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bazel icon bazel

a fast, scalable, multi-language and extensible build system

coach icon coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

cs-ranking icon cs-ranking

Context-sensitive ranking and choice in Python with Tensorflow

cypari2 icon cypari2

A Python interface to the number theory library libpari

faker icon faker

Faker is a Python package that generates fake data for you.

flask-silk icon flask-silk

Adds silk icons to your Flask application or module, or extension.

fpylll icon fpylll

A Python interface for https://github.com/fplll/fplll

imitation icon imitation

Clean PyTorch implementations of imitation and reward learning algorithms

infra icon infra

nix-community infrastructure [maintainer=@adisbladis]

ipython icon ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

logseq icon logseq

This is simply to publish my templates to the world :)

markor icon markor

Text editor - Notes & ToDo (for Android). Simple and lightweight, supporting Markdown and todo.txt

marvin-mk2 icon marvin-mk2

Discontinued! See https://github.com/timokau/marvin-mk2/issues/34#issuecomment-1100656280 (Previously: "Making sure your PR gets a review and your reviews don't get lost.")

neomake icon neomake

A plugin for asynchronous :make using Neovim's job-control functionality

nix-bisect icon nix-bisect

Bisect nix builds. Status: alpha/proof of concept. You'll probably have to dig into the implementation if you want to use it. Built for personal use, lightly maintained. PRs welcome. Issues welcome, but I make no promises regarding responses or fix

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