Skip to content

@climatechange-ai-tutorials climatechange-ai-tutorials

Change the repository type filter

All

    Repositories list

    30 repositories

    • piggy-cast

      Public
      This tutorial introduces PiggyCast, an ensemble machine learning model designed to improve weather prediction accuracy by stacking forecasts from various numeri…
      Jupyter Notebook
      •
      MIT License
      •0•0•0•0•Updated Dec 6, 2025Dec 6, 2025

    • sustainability-reports-richness

      Public
      In this tutorial, we learn about an advanced strategy for information retrieval for question answering with Large Language Models (LLMs) in knowledge-intensive …
      Jupyter Notebook
      •
      MIT License
      •0•1•0•0•Updated Dec 6, 2025Dec 6, 2025

    • climate-policy-radar-knowledge-graph

      Public
      At Climate Policy Radar, we’re building an open-source knowledge graph for climate policy. Using an ontology defined by climate policy experts, we create a set …
      natural-language-processingsupervised-learningclassification-regression
      natural-language-processingsupervised-learningclassification-regressionclimate-policy
      Jupyter Notebook
      •
      MIT License
      •0•0•0•0•Updated Dec 6, 2025Dec 6, 2025

    • flood-mapping-optical-and-microwave

      Public
      By the end of the tutorial, participants will understand how different satellite data sources and modeling approaches influence flood mapping outcomes, and how …
      computer-visionremote-sensingearth-observation
      computer-visionremote-sensingearth-observationdisaster-responseinterpretable-machine-learning
      Jupyter Notebook
      •
      MIT License
      •0•2•0•0•Updated Dec 6, 2025Dec 6, 2025

    • agricultural-monitoring-ftw

      Public
      This tutorial demonstrates how to generate field boundaries globally using the Fields of The World dataset, pretrained models, and command line interface (CLI).…
      computer-visionremote-sensingland-use
      computer-visionremote-sensingland-useagriculture-data
      Jupyter Notebook
      •
      MIT License
      •0•1•0•0•Updated Dec 6, 2025Dec 6, 2025

    • counterfactual-models-energy-saving

      Public
      Using a real-world dataset of hourly meter and weather data, participants will learn to build a robust counterfactual energy baseline with a LightGBM (Gradient …
      time-seriesgradient-boosting-machineenergy-efficiency
      time-seriesgradient-boosting-machineenergy-efficiencybuildings
      Jupyter Notebook
      •
      MIT License
      •0•1•0•0•Updated Dec 6, 2025Dec 6, 2025

    • quantus-x-climate

      Public
      In climate science, explainable artificial intelligence (XAI) can be used to improve and validate deep learning methods, but evaluation and selection of XAI met…
      Jupyter Notebook
      •
      MIT License
      •3•2•0•0•Updated Jul 18, 2025Jul 18, 2025

    • camels-hydrological-modeling

      Public
      A guide to model hydrological system using the real-world CAMELS dataset, which contains weather drivers for 531 basins across the continental United States. Th…
      Jupyter Notebook
      •
      MIT License
      •0•1•0•0•Updated Jan 7, 2025Jan 7, 2025

    • commonpower-safe-rl

      Public
      This tutorial introduces the CommonPower library, designed to benchmark safe reinforcement learning (RL) algorithms on control problems for power systems. We hi…
      Jupyter Notebook
      •
      MIT License
      •0•2•0•0•Updated Jan 7, 2025Jan 7, 2025

    • climate-extremes-regime

      Public
      The goal of this tutorial is to show how we can use methods from constraint-based causal discovery to uncover the causal relationships that are present in diffe…
      Jupyter Notebook
      •
      GNU General Public License v3.0
      •1•2•0•0•Updated Jan 7, 2025Jan 7, 2025

    • bioacoustic-monitoring

      Public
      This tutorial presents an "agile modeling" approach that enables users to build custom classifier systems efficiently for species of interest using transfer lea…
      Jupyter Notebook
      •
      MIT License
      •5•10•0•0•Updated Nov 25, 2024Nov 25, 2024

    • optimal-power-flow

      Public
      AC Optimal Power Flow (OPF) attempts to determine the setpoints of generators that would minimize the operating cost of a power system while meeting other opera…
      Jupyter Notebook
      •
      MIT License
      •4•14•0•0•Updated Jul 30, 2024Jul 30, 2024

    • nlp-policy-analysis

      Public
      Explore how Natural Language Processing (NLP) can be used to assist in identifying and mapping climate-relevant literature using a supervised learning approach …
      Jupyter Notebook
      •
      MIT License
      •13•44•0•0•Updated Jul 11, 2024Jul 11, 2024

    • mobility-demand

      Public
      Ensuring a shared bike is readily available can reduce demand for less climate-friendly transportation options. Explore how to model the relationship between bi…
      Jupyter Notebook
      •
      MIT License
      •2•1•0•0•Updated Jul 9, 2024Jul 9, 2024

    • lulc-classification

      Public
      Mapping the extent of land use and land cover categories over time is essential for better environmental monitoring, urban planning and nature protection. Train…
      Jupyter Notebook
      •
      MIT License
      •13•26•0•1•Updated Jul 3, 2024Jul 3, 2024

    • coal-power-mrv

      Public
      Explore how to monitor coal power plant activity by leveraging satellite imagery and computer vision models.
      Jupyter Notebook
      •
      MIT License
      •4•3•0•0•Updated Jun 25, 2024Jun 25, 2024

    • seasonal-forecasting

      Public
      Existing El Niño forecasts use dynamical models that rely on the physics of the atmosphere and ocean. Learn how to create El Niño forecasts using machine learni…
      Jupyter Notebook
      •
      MIT License
      •6•6•0•0•Updated Jun 13, 2024Jun 13, 2024

    • tracking-ml-emissions

      Public
      Learn how to measure a machine learning model's carbon footprint and practice strategies that can help shrink the energy involved in training these models.
      Jupyter Notebook
      •
      MIT License
      •2•5•0•0•Updated Jun 13, 2024Jun 13, 2024

    • smart-meter-analytics

      Public
      A practical guide to current trends in smart meter data analytics with a focus on feature engineering and machine learning scenarios for energy data at 15-minut…
      Jupyter Notebook
      •
      MIT License
      •2•4•0•0•Updated Jun 13, 2024Jun 13, 2024

    • open-catalyst-project

      Public
      Chemical reactions are one approach to convert intermittently available renewable energy, such as solar or wind, to other fuels, like hydrogen. Learn how ML can…
      Jupyter Notebook
      •
      MIT License
      •0•4•0•0•Updated Jun 13, 2024Jun 13, 2024

    • fourcastnet

      Public
      Learn how to use FourCastNet, a weather model based on deep learning, to obtain short to medium-range forecasts of crucial atmospheric variables such as surface…
      Jupyter Notebook
      •
      MIT License
      •0•8•0•0•Updated Jun 13, 2024Jun 13, 2024

    • camera-trap-recognition

      Public
      The greatest logistical barrier to long-term wildlife monitoring with camera traps is the overwhelming amount of human labor needed to annotate thousands or mil…
      Jupyter Notebook
      •
      MIT License
      •0•1•0•0•Updated Jun 13, 2024Jun 13, 2024

    • lulc-semantic-segmentation

      Public
      Learn how to create a custom LULC dataset by combining multispectral satellite and vector data.
      Jupyter Notebook
      •
      MIT License
      •1•2•0•0•Updated Jun 13, 2024Jun 13, 2024

    • aquaculture-mapping

      Public
      Managing aquaculture ponds is vital for environmental monitoring and conservation. This tutorial presents how to leverage satellite imagery and semantic segment…
      Jupyter Notebook
      •
      MIT License
      •1•7•1•0•Updated Jun 13, 2024Jun 13, 2024

    • building-load-forecasting

      Public
      Accurate forecasts of energy demand and supply are essential to mitigate climate change. Discover how to train and evaluate building load forecasts using off-th…
      Jupyter Notebook
      •
      MIT License
      •3•10•0•0•Updated Jun 13, 2024Jun 13, 2024

    • building-control-boptest

      Public
      Apply reinforcement learning to a building emulator to intelligently control HVAC systems.
      Jupyter Notebook
      •
      MIT License
      •5•12•0•0•Updated Jun 13, 2024Jun 13, 2024

    • citylearn

      Public
      Learn how to design simple and advanced control algorithms to provide energy flexibility, and acquire familiarity with the CityLearn environment and its dataset…
      Jupyter Notebook
      •
      MIT License
      •4•5•0•1•Updated Jun 13, 2024Jun 13, 2024

    • flood-monitoring

      Public
      Floods in coastal areas can be extremely destructive natural hazards resulting in societal and economical damage. In this tutorial, explore how to predict build…
      Jupyter Notebook
      •
      MIT License
      •3•5•0•0•Updated Jun 13, 2024Jun 13, 2024

    • zevi

      Public
      This tutorial surveys different methods to formulate electric vehicle (EV) charging and energy dispatch as an optimization problem, using tools such as convex o…
      Jupyter Notebook
      •
      MIT License
      •2•9•0•0•Updated Jun 12, 2024Jun 12, 2024

    • climatelearn

      Public
      Apply machine learning to predict climate variables into the future and transform low-resolution outputs of climate models into high-resolution regional forecas…
      Jupyter Notebook
      •
      MIT License
      •7•11•0•0•Updated Jun 12, 2024Jun 12, 2024