Turns Data and AI algorithms into production-ready web applications in no time.

PyPSA-Earth: A flexible Python-based open optimisation model to study energy system futures around the world.

This repository collects research papers of large Foundation Models for Scenario Generation and Analysis in Autonomous Driving. The repository will be continuously updated to track the latest update.

A Python library to build powerful and customized data-driven back-end applications.

MetaScenario: A Framework for Driving Scenario Data Description, Storage and Indexing

Open model and data for SWITCH-China, modeling the world's largest power system

FlyingKoala turns Excel into a user interface for defining calculations in Python and so reduces the complexity for humans translating from Excel to Python and makes the calculations more transparent to other domain experts, managers, bankers and auditors.

TIMES-Ireland Model (TIM)

Future Technology Transformation models: a family of evolutionary economics models to investigate energy policy

A library of published compartmental epidemic models, and classes to represent demographic structure, non-pharmaceutical interventions, and vaccination regimes, to compose epidemic scenarios.

A Streamlit dashboard that measures skill adaptation debt instead of predicting outcomes. It decomposes pressure into churn, novelty, and breadth to explain which roles/industries are becoming harder to staff. Includes role/industry reports, skill pressure maps, what-if scenario simulation, and a dataset explorer.

🚧 🚔 ⚠ Toolbox to compute Criticality Measures for Automated Vehicles

A data warehouse for high-powered scenario analysis in the domain of integrated assessment of climate change and energy systems modeling

Source code for figure generation and analysis of the ENGAGE netzero scenario analysis

Tools for Stochastic Simulation using diffusion models (R).

Conditional Forecasting and Scenario Analysis Using VAR Models (R package)

Model of the Italian energy system from 2006 to 2050, based on the TEMOA modeling framework and developed by MAHTEP Group.

Tutorial notebook of the pyam package

TIMES-GEO Model

An open source software to model branch- and technology-specific electricity load profiles in the tertiary sector and analyse potentials of demand side response measures.

Single-region open-database and open-source energy for energy system optimization analyses up to 2050 based on OECD Europe.

Polyhedron is a domain-driven Python optimization modeling framework that turns business entities into transparent MILP/MIQP models, with built-in diagnostics, scenario analysis, and robust solver interoperability.

The Connected and Automated Vehicles Scenario Generation (CSG) model is a system dynamics model. It was built by NREL and funded by the U.S. Department of Energy under the Systems and Modeling for Accelerated Research in Transportation (SMART) Mobility initiative. The purpose of the model is to simulate the “transitions from predominantly individual ownership of non-CAVs to various future scenarios of high connectivity/automation”(Bush, Vimmerstedt, and Gonder 2019).

Balance sheet forecasting tool for banks - capital management, liquidity management, and stress testing with Basel III compliance

Special repository containing the profile directory of JuliaEpi.

💼 Railsback & Grimm’s Business Investor Model

Scrolly-telling viz for comparing scenarios in the service allocation study

Assessing the computational reproducibility of Kim et al. 2021 as part of STARS.

A glimpse of Futures trading. Data Analytics | Quantitative Analysis | Model Development | Risk Management | Wealth Management

A toolkit-class for fixed income basics, like Nelson-Siegel and Svensson, incl. dynamic with Extended Kalman Filter, VAR forecasting of YC, scenario generation, CVaR optimizer, bond pricing and more