Popular GitHub Repositories for Lorenz Attractor

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

Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"

Reservoir computing for short-and long-term prediction of chaotic systems, with tasks Lorenz and Mackey-Glass systems. Bayesian optimization (hyperparameter optimization algorithm) is used to tune the hyperparameters and improve the performance.

Various experiments related to AGI

RCNLP - Echo State Network for Natural Language Processing is a research project about Reservoir Computing for NLP tasks

Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling

Code for "Sufficient conditions for offline reactivation in recurrent neural networks" (ICLR 2024)