pvlachas

RNN-RC-Chaos

RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.

RNN-Lyapunov-Spectrum

A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.

LearningEffectiveDynamics

Framework to learn effective dynamics and couple a macro scale simulator with a fast neural network latent propagator.

LED-Proteins

Framework for learning effective reduced order dynamics of molecular systems.

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

defeatcovid19-net-pytorch

Pytorch solution for predictions on X-ray images of COVID-19 patients

journal_club_10-2017

TRNG

pvlachas.github.io