Pinned Repositories
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
amuni3.github.io
Personal Website
bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
duckiebot_data
This repository is to record names of all the duckiebot in the duckietown 2018
ethz-fall2018-subs
interviews.ai
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
MPC_project
Temperature control using MPC (ETH MPC course project)
Neural-Lyapunov-Control
Learning Lyapunov functions and control policies of nonlinear dynamical systems
planning-exercises
SMPyBandits
🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on
amuni3's Repositories
amuni3/MPC_project
Temperature control using MPC (ETH MPC course project)
amuni3/academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
amuni3/amuni3.github.io
Personal Website
amuni3/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
amuni3/duckiebot_data
This repository is to record names of all the duckiebot in the duckietown 2018
amuni3/ethz-fall2018-subs
amuni3/interviews.ai
It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.
amuni3/Neural-Lyapunov-Control
Learning Lyapunov functions and control policies of nonlinear dynamical systems
amuni3/planning-exercises
amuni3/SMPyBandits
🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on
amuni3/uuv_simulator
Senior design - underwater swarming code