Contributors: Gabriel Tseng
Name: Gabriel Tseng
Login: gabrieltseng
Email: gabriel.tseng@mail.mcgill.ca
Description: Machine Learning, Energy and Agriculture
Website: https://gabrieltseng.github.io/
Location: Montreal, Canada
Company: @mila-iqia
Repositories count: 3
Last synced at: 2023-03-01T03:30:23.190Z
OST Projects: 5
Languages: Jupyter Notebook, Python
Categories: Biosphere, Consumption, Natural Resources, Renewable Energy, Sustainable Development
Sub Categories: Agriculture and Nutrition, Data Catalogs and Interfaces, Forest Remote Sensing, Photovoltaics and Solar Energy, Soil and Land
Topics: nowcasting, pvoutput, solar, 2019, copernicus, agriculture, gaussian-processes, solar-energy, meta-learning, energy-access, earth-observation, sentinel-2
Contributed Projects
CropHarvest
Collects data from a variety of agricultural land use datasets and remote sensing products.
Consumption - Agriculture and Nutrition - Last synced: 31 May 2026 - Ranking: 14.1
satlas
Aims to provide open AI-generated geospatial data that is highly accurate, available globally, and updated on a frequent (monthly) basis.
Sustainable Development - Data Catalogs and Interfaces - Last synced: 01 Jun 2026 - Ranking: 7.4
pvoutput
Python code for downloading PV data from PVOutput.org.
nowcasting pvoutput python python-library solar
Renewable Energy - Photovoltaics and Solar Energy - Last synced: 01 Jun 2026 - Ranking: 7.0
OlmoEarth
A collection of real-world Earth-observation model configurations, tutorials and tooling built on top of the open OlmoEarth foundation models to map ecosystems, forest loss, mangroves and more using satellite data.
Biosphere - Forest Remote Sensing - Last synced: 01 Jun 2026 - Ranking: 7.0
ml_drought
A Machine Learning Pipeline to Predict Vegetation Health.
2019 copernicus machine-learning
Natural Resources - Soil and Land - Last synced: 01 Jun 2026 - Ranking: 6.0
