Pinned Repositories
gaim
A C++ library for Genetic Algorithms and Island Models
pyAIS
Python implementation of Annealed Importance Sampling algorithm
pytorch_time2vec
SI-RF-Structure
som_stability
SPySort
Spike sorting software
timeseries_imputlorer
A simple package for trying and testing different time series imputation methods
wavelet_denoising
A simple Python implementation of basic Wavelet denoising algorithms
neural_sampling_machines
NSAT
Neural and Synaptic Array Transceiver
gdetor's Repositories
gdetor/pytorch_time2vec
gdetor/pyAIS
Python implementation of Annealed Importance Sampling algorithm
gdetor/som_stability
gdetor/wavelet_denoising
A simple Python implementation of basic Wavelet denoising algorithms
gdetor/SPySort
Spike sorting software
gdetor/CorrSpikeTrains
Correlated Spike Trains Python class
gdetor/neuralfieldDBSmodel
gdetor/cRBM
Restricted Bolzmann Machine implementation in C
gdetor/CRKMethods
A C-implementation of several Runge-Kutta methods
gdetor/gaim
A C++ library for Genetic Algorithms and Island Models
gdetor/gdetor.github.io
gdetor/pygpsa
Pseudospectra for non-square matrices
gdetor/pytorch_timeseries_loader
A Pytorch Dataset class for time series data sets
gdetor/som_quality_measures
A collection of algorithms for measuring the quality of self-organizing maps
gdetor/SI-RF-Structure
gdetor/timeseries_imputlorer
A simple package for trying and testing different time series imputation methods
gdetor/adversarial_validation
This repository contains a simple implementation of adversarial validation method
gdetor/autoencoders_for_time_series
gdetor/differential_equations_dnn
Solve differential equations using deep neural networks
gdetor/empyred
gdetor/gdetor
Config files for my GitHub profile.
gdetor/mojo
The Mojo Programming Language
gdetor/NSATcarl
NSAT wrapper for CarlSim
gdetor/omnipyseed
Omnipyseed is a minimal Python package that seeds all the basic RNGs like Python Random, Numpy, and Torch.
gdetor/pyscsa
Simple Python implementation of the Semi-classical signal analysis algorithm
gdetor/rescience-c.github.io
ReScience C website
gdetor/rescience.github.io
ReScience website sources
gdetor/SITopMaps
gdetor/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.
gdetor/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.