Georgios Is. Detorakis's repositories
CorrSpikeTrains
Correlated Spike Trains Python class
wavelet_denoising
A simple Python implementation of basic Wavelet denoising algorithms
CRKMethods
A C-implementation of several Runge-Kutta methods
pytorch_timeseries_loader
A Pytorch Dataset class for time series data sets
som_quality_measures
A collection of algorithms for measuring the quality of self-organizing maps
timeseries_imputlorer
A simple package for trying and testing different time series imputation methods
adversarial_validation
This repository contains a simple implementation of adversarial validation method
Crebral
A spiking neural network simulator written in C and Python
gdetor
Config files for my GitHub profile.
mojo
The Mojo Programming Language
NSATcarl
NSAT wrapper for CarlSim
omnipyseed
Omnipyseed is a minimal Python package that seeds all the basic RNGs like Python Random, Numpy, and Torch.
rescience-c.github.io
ReScience C website
ReScience-submission
ReScience submission repository
rescience.github.io
ReScience website sources
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
tcherry
This R-package is for learning the structure of the type of graphical models called t-cherry trees from data. The structure is determined either directly from data or by increasing the order of a lower order t-cherry tree.