Pinned Repositories
g2net_4th_training_school_thessaloniki_2023
Repository for the 4th G2Net Training School, March 28-31, 2023, Thessaloniki
gw-group
Gravitational Waves Group @ Aristotle University of Thessaloniki
gw-group-resources
Useful resources
gw_summer2018
Talks at the 3rd H.E.L.A.S & DAAD Summer School, Thessaloniki, Oct. 8-12, 2018
MSc-GR-course
openmp-course
OpenMP Course at AUTh examples
pyFourier
pyTOV-STT
pyTOVpp
pyTOVtab
niksterg's Repositories
niksterg/gw-group-resources
Useful resources
niksterg/pyTOVtab
niksterg/gw_summer2018
Talks at the 3rd H.E.L.A.S & DAAD Summer School, Thessaloniki, Oct. 8-12, 2018
niksterg/MSc-GR-course
niksterg/nbody-performance-comparison
Directly compare performance of vectorized and for-loop implementations of the N-body problem in Matlab, Julia, and Python
niksterg/nbody-python
Vectorized N-body code (Python)
niksterg/Neutron_Star_EOS
Neutron star equation of state files, includes TOV solver, unit conversion, and plots
niksterg/Python-lectures-Notebooks
Files for the Python lecture I give at IA-UNAM
niksterg/Bachelor-thesis-prog
Python interface for rns.c
niksterg/CountNet
Deep Neural Network for Speaker Count Estimation
niksterg/Deep-learning-projects
Jupyter Notebooks with home-made FCNNs, RNNs, CNNs, GAMs models for Airbnb price rental prediction, galaxies classification, gravitational waves classification, named entity prediction, images classification, etc.
niksterg/g2net_2nd_training_school_malta_mar_2020
CA17137 - A network for Gravitational Waves, Geophysics and Machine Learning - 2nd Training School
niksterg/GWATUT-waveforms
niksterg/GWSkyNet
GWSkyNet is a binary CNN classifier for gravitational-wave candidates. This repository contains the published model together with instructions on how to use the classifier. The input is a sky map FITS file from BAYESTAR, which can be found on GraceDB for real gravitational-wave candidates.
niksterg/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
niksterg/Intro
niksterg/NumericalMethodsPhysicsWithPython
Codes, tutorials and other resources associated with the textbook "Numerical Methods in Physics with Python" by Alex Gezerlis
niksterg/pic-python
Vectorized Plasma PIC code (Python)
niksterg/postmerger_frequencies
niksterg/pycbc-inference-paper
Data Release associated with the PyCBC Inference paper. This includes posterior samples for GW150914, LVT151012, and GW151226 along with configuration files and run scripts,
niksterg/PyPDE
A Python library for solving any system of hyperbolic or parabolic Partial Differential Equations. The PDEs can have stiff source terms and non-conservative components.
niksterg/PySR
Simple symbolic regression in Julia+Python via regularized evolution and simulated annealing
niksterg/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
niksterg/requirements
Simple requirements.txt based example
niksterg/scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
niksterg/statsthinking21
Main web site for Statistical Thinking for the 21st Century
niksterg/statsthinking21-core
Core statistical text for Statistical Thinking in the 21st Century
niksterg/statsthinking21-python
Python companion for Statistical Thinking in the 21st Century
niksterg/swiftsky
niksterg/vitamin_c
This will be the first official public release of the VItamin code base. VItamin is a python package for producing fast gravitational wave posterior samples.