pvlachas
Machine learning research on complex, chaotic dynamics, time-series, & spatio-temporal data.
ETH Zurich @cselab
Pinned Repositories
adaled
Adaptive Learning of Effective Dynamics
LED
LED-Molecular
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
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.
RNN-Lyapunov-Spectrum
A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.
RNN-RC-Chaos
RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.
pvlachas's Repositories
pvlachas/RNN-RC-Chaos
RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems.
pvlachas/RNN-Lyapunov-Spectrum
A data-driven method to calculate the Lyapunov exponent of a dynamical system employing a GRU-RNN.
pvlachas/LearningEffectiveDynamics
Framework to learn effective dynamics and couple a macro scale simulator with a fast neural network latent propagator.
pvlachas/LED-Proteins
Framework for learning effective reduced order dynamics of molecular systems.
pvlachas/char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
pvlachas/char-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
pvlachas/defeatcovid19-net-pytorch
Pytorch solution for predictions on X-ray images of COVID-19 patients
pvlachas/journal_club_10-2017
pvlachas/TRNG
pvlachas/pvlachas.github.io