Compute Lyapunov exponents and Covariant-Lyapunov-Vectors of an RNN update trajectory
-
Updated
May 19, 2024 - Python
Compute Lyapunov exponents and Covariant-Lyapunov-Vectors of an RNN update trajectory
Automatically exported from code.google.com/p/pystab
calculate classical Toomre Q_gas from moment map and rotation curve
Command line client for stable.world
My work for my Bachelor thesis on the properties of the Relaxed Recentered Log-Barrier functions based MPC (RRLB MPC)
Stabilizing with RANSAC and SIFT
This package computes the Improved Feasible Region. This is an intersection between the Feasible Region (Orsolino, 2020) and the Reachable Region (a 2D level area representing the CoM reachable workspace). The details are explained in this preprint:
Analysis and Control of a 2D quadrotor system
programmaticly generate Stability/DreamStudio.ai images by simply making a call to a Google Cloud Function
Codebase of "Actor-Critic Reinforcement Learning for Control with Stability Guarantee" by Han et al. 2020
Utility to transform, cascade, de-embed and describe s-parameter touchstone files
Tools for determining the stability limit of a circumbinary planet
Robust learning with implicit residual networks
A cutting-plane method to synthesize Lyapunov functions for neural network uncertain systems.
A tool for predicting the effects of missense mutations on protein stability changes upon missense mutation using protein sequence only.
This GitHub repository contains additional information supporting published manuscripts
Code used to obtain the results for my Bachelor's thesis
Add a description, image, and links to the stability topic page so that developers can more easily learn about it.
To associate your repository with the stability topic, visit your repo's landing page and select "manage topics."