Bravo Ranking is a new type of national football team ranking updated automatically every day.

A platform supporting the creation of data-driven surveys.

Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems, synthetic- and real neural datasets. https://agosztolai.github.io/MARBLE/

pyMOR - Model Order Reduction with Python

A robust 🐍Python application for data analysis that provides a wide range of tools for 🔃loading, 🧹cleaning, and 🔃preprocessing data. It includes features for 📈statistical analysis, 👨🏿‍🔬hypothesis testing, 🦾machine learning, clustering, ⏳time series forecasting, and 📊data visualization, all designed to enhance your analytical workflow.

Python Dynamic Mode Decomposition

A unified framework for machine learning collective variables for enhanced sampling simulations

⚡🔋 A Python/C++ package with physics-based and data-driven models to predict optimal conditions for fast-charging lithium-ion batteries

Tensor Train Toolbox

moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.

A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks

A wrapped package for Data-enabled predictive control (DeePC) implementation. Including DeePC and Robust DeePC design with multiple objective functions.

A Python implementation of a Direct Data-Driven Model Predictive Control (MPC) controller for Linear Time-Invariant (LTI) systems, based on the work of J. Berberich et al. presented in the paper "Data-Driven Model Predictive Control With Stability and Robustness Guarantees".

Python library that implements DeePC: Data-Enabled Predictive Control

Framework for Data-Driven Design & Analysis of Structures & Materials (F3DASM)

Xelhua (Xel) is a cloud-agnostic big data platform that faces the challenges of enabling end-users and organizations (at high-level and by using graphical design-driven schemes) to build high availability cloud agnostic analytics services without programming.

Simple, yet effective, data-driven algorithm for optimization under parametric uncertainty

Extended Dynamic Mode Decomposition for system identification from time series data (with dictionary learning, control and streaming options). Diffusion Maps to extract geometric description from data.

Code and demos for contructing Data-Driven Digital Twins of Photovoltaic & Advanced Manufacturing systems

A Python toolbox for quantitative, reproducible flow cytometry analysis