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Hans-Christian Ruiz Euler's Projects

brainspy-algorithms icon brainspy-algorithms

A python package created and maintained by the Brains team of the NanoElectronics group at the University of Twente containing the main optimisation algorithms used for training boron-doped silicon chips both in hardware and with surrogate models.

brainspy-processors icon brainspy-processors

Different systems under test in the form of hardware and hardware simulation processors for research purposes.

brainspy-smg icon brainspy-smg

A python package created and maintained by the Brains team of the NanoElectronics group at the University of Twente for (mostly) automated generation of surrogate models of boron-doped silicon chips, supporting its creation throughout its development life-cycle.

brainspy-tasks icon brainspy-tasks

Benchmark tests and tasks for studying the capacity of the boron-doped silicon devices and their surrogate models.

continuous_control icon continuous_control

This repository trains the Reacher Unity agent for Udacity's Deep Reinforcement Learning Nano-degree.

navigation icon navigation

This repository contains my solution to the Navigation project from the Udacity Nanodegree "Deep Reinforcement Learning". The task is to solve the Bananas environment of the Unity game engine, but the code works for any Unity environment.

nets icon nets

Some example networks used either on projects of the Twente University or for fun.

papis icon papis

A parallel version of the Adaptive Path-Integral Smoother (APIS) using mpi4py. APIS is an adaptive importance sampler targeting the posterior distribution of a state-space model.

papis4fmri icon papis4fmri

A version of parallel APIS implementing Expectation-Maximization for fMRI time series. Additional adaptation steps are performed, e.g. causal connectivity estimates.

particle_methods icon particle_methods

A small compilation of particle methods; for now, only the bootstrap filter-smoother is implemented

smg icon smg

This repo gives tools to model nanoelectronic devices.

tennis_collaboration icon tennis_collaboration

This repository implements the "cooperation project" of the Udacity DRL Nanodegree. It uses self-learning in the Multiagent DDPG approach to solve the Tennis environment provided by Udacity.

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