blzhao Goto Github PK

arni

Algorithm for Revealing Network Interactions (ARNI) from nonlinear collective dynamics

dynamical-learning

Dynamical learning of dynamics

dysts

More than a hundred strange attractors

kuramoto

Python implementation of the Kuramoto model

lsm-rl

Reinforcement Learning with Low-Complexity Liquid State Machines

lsnn-official

Long short-term memory Spiking Neural Networks

ndcn

Neural Dynamics on Complex Networks

neural-ode

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

ng-rc-paper-code

Code for the paper "Next Generation Reservoir Computing"

ntk_learning_curves

online-sinsdy

The revised manuscript of Online Change Point Detection of Stochastic Differential Equations

optimizing-higher-order-network-topology

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)).

parallelized_lsm_for_unintentional_action_recognition

pcritical

reservoir-computing-kernels

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

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.