Jimmy-INL

causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

confound_it

Data_Driven_Science_Python_Demos

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton

GIFtoolsCookbook

Cookbook for GIFtools highlighting the things you can do from menus

lingam

Python package for causal discovery based on LiNGAM.

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

pykoopman

A package for computing data-driven approximations to the Koopman operator.

raven

RAVEN is a flexible and multi-purpose probabilistic risk analysis, uncertainty quantification, parameter optimization and data knowledge-discovering framework.

Re-DiffiNet

tetrad

Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.

AGI-survey

causal_GPT

culingam

CULiNGAM accelerates LiNGAM analysis on GPUs.

dodiscover

[Experimental] Global causal discovery algorithms

dominant-balance

Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)

elmfire

FORCE

The Framework for Optimization of ResourCes and Economics is a collection of software tools, models, and datasets acquired and developed under the Integrated Energy Systems (IES) program to enable analysis of technical and economic viability of myriad IES configurations. FORCE is the consolidating interface and data repository for all the IES toolsets ranging from macro technoeconomic analysis to transient process modeling and experimental validation for integrated energy systems.

langevin-regression

Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton

mermaid-live-editor

Edit, preview and share mermaid charts/diagrams. New implementation of the live editor.

modified-SINDy

Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data

MODULO

MODULO (MODal mULtiscale pOd) is a software developed at the von Karman Institute to perform Multiscale Modal Analysis of numerical and experimental data using the mPOD.

NeymanMLCode

openui

OpenUI let's you describe UI using your imagination, then see it rendered live.

PyDMD

Python Dynamic Mode Decomposition

pykan

Kolmogorov Arnold Networks

pysensors

PySensors is a Python package for sparse sensor placement

sinergym

Gym environment for building simulation and control using reinforcement learning

SiSHoDit

Simulated Activity of Daily Living

Unity-Robotics-Hub

Central repository for tools, tutorials, resources, and documentation for robotics simulation in Unity.

YouTube-Blog

Codes to complement YouTube videos and blog posts on Medium.