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pybullet-gym
Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.bullet-gym
Experimental (stable, go here: https://github.com/benelot/pybullet-gym) repository of OpenAI Gym environments implemented with Bullet Physics using pybullet.eth-machine-learning-summary
We cherry-pick the most understandable explanations and definitions into one summary to summarize the content of the lecture about Machine Learning of Prof. Joachim Buhmann.minemonics
(Alpha Stage, work in progress) An open-source 3D virtual creature evolution simulator built in OGRE rendering engine in C++ to experiment with emergent gait-periodicity in evolved creatures on unknown terrain.eth-intro-to-neuroinformatics-summary
Summary of the ETH INI Introduction to Neuroinformatics course.CEGUI-GWEN-Skin
A skin based on the default GWEN GUI skin for CEGUI.awesome-biologically-plausible-neural-networks
Awesome biologically plausible neural networks reading list.eth-neurophysics-summary
Summary of a course called Neurophysics(227-1038-00L) at ETH Zürich taught by R. Hahnloser, J.-P. PfisterLibreOffice-as-a-Maven
Make LibreOffice available to your Java application as a service and use them with the examples using Maven.GVG-AI-2015
Watch out other contestants! INI participates at this year's GVG-AI competition and we are going to win! With the least amount of effort, because that is what we mainly optimize for.dynamica
Automatically exported from code.google.com/p/dynamicaLibreOffice-as-a-service
Make LibreOffice available to your Java application as a service and use them with the examples.SimpleTensorFlow
Simple TensorFlow scripts to learn TensorFlow piece by piece.openp2p
Automatically exported from code.google.com/p/openp2pSillyTanks
A port to a 3D engine of a game we wrote at University of Zurich for the Graphics Lab course.GLaDONN
Genetic Lifeform and Deeply Offensive Neural Networketh-autonomous-mobile-robots-summary
Mindmap summary for a course called Autonomous Mobile Robots taught by Prof. Siegwart at ETH Zürich.Love Open Source and this site? Check out how you can help us