Pinned Repositories
andi_datasets
andi_datasets provides functions to generate, save, load and manipulate datasets of diffusion anomalous trajectories. It is part of the Anomalous Diffusion (ANDI) Challenge.
genQC
Generative Quantum Circuits
ANDI_datasets
ANDI provides the necessary functions to generate, save, load and manipulate datasets of diffusion anomalous trajectories. It is part of the Anomalous Diffusion (ANDI) Challenge.
PytorchGeometricTutorial
Pytorch Geometric Tutorials
QML-Course-UPC-2019
Coding exercises for UPC QML course
RF-Single-Trajectory-Characterization
This repository contains an example of the implementation of a Random Forest algorithm for the characterisation of trajectory arising from diffusion processes, as proposed in the paper https://arxiv.org/abs/1903.02850 .
rl_opts
Train, benchmark and analyze reinforcement learning agents for optimal searching and foraging
Solving-Master-Equations-with-Qutip
Didactic solution of the dynamics of three level atom using the QutiP toolbox
TEBD-with-Matlab
Time-evolving block decimation algorithm from quantum systems based on the G. Vidal paper 'Efficient Classical Simulation of Slightly Entangled Quantum Computations', PRL 91, 147902 (2003).
Unsupervised-learning-of-anomalous-diffusion
This repo contains the technical details of the paper Unsupervised Learning of Anomalous Diffusion data
gorkamunoz's Repositories
gorkamunoz/Solving-Master-Equations-with-Qutip
Didactic solution of the dynamics of three level atom using the QutiP toolbox
gorkamunoz/Unsupervised-learning-of-anomalous-diffusion
This repo contains the technical details of the paper Unsupervised Learning of Anomalous Diffusion data
gorkamunoz/rl_opts
Train, benchmark and analyze reinforcement learning agents for optimal searching and foraging
gorkamunoz/TEBD-with-Matlab
Time-evolving block decimation algorithm from quantum systems based on the G. Vidal paper 'Efficient Classical Simulation of Slightly Entangled Quantum Computations', PRL 91, 147902 (2003).
gorkamunoz/RF-Single-Trajectory-Characterization
This repository contains an example of the implementation of a Random Forest algorithm for the characterisation of trajectory arising from diffusion processes, as proposed in the paper https://arxiv.org/abs/1903.02850 .
gorkamunoz/ANDI_datasets
ANDI provides the necessary functions to generate, save, load and manipulate datasets of diffusion anomalous trajectories. It is part of the Anomalous Diffusion (ANDI) Challenge.
gorkamunoz/PytorchGeometricTutorial
Pytorch Geometric Tutorials
gorkamunoz/QML-Course-UPC-2019
Coding exercises for UPC QML course
gorkamunoz/qml-rg
Quantum Machine Learning Reading Group @ ICFO
gorkamunoz/QSVM-Introduction
Introduction into QSVM
gorkamunoz/rapid
RAPID: Training energy-based models through Restricted Axons and Pattern-InDuced correlations
gorkamunoz/BIST-master-python-bootcamp
gorkamunoz/BIYSC_simulations2019
gorkamunoz/gorkamunoz.github.io
gorkamunoz/intervention-based-autoencoder
Representation learning with disentangled factors of intervention.
gorkamunoz/nbdev-doc-test
checking the docs
gorkamunoz/NightUp
gorkamunoz/step
Diffusion properties at every time step
gorkamunoz/stochastic_unbinding_droplets