cxlusst's Stars
jdppthk/reservoir-computing-lyapunov-exponents
Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data. Chaos 27, 121102 (2017); https://doi.org/10.1063/1.5010300
jdppthk/parallelized-reservoir-computing
This repository contains code for parallelized prediction of spatiotemporal chaotic data using reservoir computing as described in the paper: Model-Free Prediction of Large Spatiotemporally Chaotic Systems from Data: A Reservoir Computing Approach (Physical Review Letters, 120, 024102 (2018)).
albertbup/deep-belief-network
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility