climatechange-ai-tutorials
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nlp-policy-analysis
nlp-policy-analysis PublicExplore how Natural Language Processing (NLP) can be used to assist in identifying and mapping climate-relevant literature using a supervised learning approach and leverage a state of the art Large…
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lulc-classification
lulc-classification PublicMapping the extent of land use and land cover categories over time is essential for better environmental monitoring, urban planning and nature protection. Train and fine-tune a deep learning model …
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optimal-power-flow
optimal-power-flow PublicAC Optimal Power Flow (OPF) attempts to determine the setpoints of generators that would minimize the operating cost of a power system while meeting other operational constraints. In this tutorial,…
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climatelearn
climatelearn PublicApply machine learning to predict climate variables into the future and transform low-resolution outputs of climate models into high-resolution regional forecasts.
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building-control-boptest
building-control-boptest PublicApply reinforcement learning to a building emulator to intelligently control HVAC systems.
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bioacoustic-monitoring
bioacoustic-monitoring PublicThis tutorial presents an "agile modeling" approach that enables users to build custom classifier systems efficiently for species of interest using transfer learning, audio search, and human-in-the…
Repositories
- 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 operational constraints. In this tutorial, learn how to leverage PyTorch to train a neural network to approximate the optimal solutions.
- hurricane-wind-var Public
- 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 building and population density to understand the potential impact from a flooding event.
- 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 learning, audio search, and human-in-the-loop active learning.
- 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.
- hands-on-outbreak-analytics Public
- lkotkote-bird-bioacoustics Public
- coal-power-mrv Public
Explore how to monitor coal power plant activity by leveraging satellite imagery and computer vision models.
- 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. Through this modeling process, we will demonstrate various methods to predict streamflow, aiding in flood and drought planning.
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