pm25ml
importedsoftware/pm25ml
Two-stage machine learning model for producing daily PM2.5 estimates regularly at a 10 km resolution in India.
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- MIT(osi)
- Status
- active
- Maturity
- deployed
- Organization
- energyandcleanair
- Country
- unknown
- Repository
- github.com/energyandcleanair/pm25ml
- Documentation
- unknown
- Tags
- data-engineering · data-science · environmental-data · environmental-science · geospatial · india · machine-learning · pollution · public-health · python · satellite-data
- Regulatory
- unknown
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- aedesprojectpublic-health · satellite-data
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- Bangladesh-Administrative-Datageospatial · public-health
Comprehensive upazila-wise and police thana-wise data for Bangladesh — demographics, health, education, infrastructure, crime, and more
- us-water-quality-dataenvironmental-data · public-health
US drinking water quality data by ZIP code: EPA violations, typed lead/copper evidence, PFAS, radon, flood risk, and Home Safety Scores for 42,679 ZIPs. 66 federal/state sources. Updated weekly. CC…
- EPHTrackRenvironmental-data
R interface to the CDC National Public Health Tracking Network API
- Covid-19-and-Aviation-Industrydata-engineering
The goal of this project is to analyse the impact of Covid-19 on the Aviation industry through data engineering processes using technologies such as Apache Airflow, Apache Spark, Tableau and couple…
- django-large-imagegeospatial
🩻 🗺️ Django endpoints for working with large images for tile serving
- api.github.com/repos/energyandcleanair/pm25mlretrieved 2026-08-25 · via github-api
Machine-imported from GitHub search. Last push 2026-07-21, 5 stars, license reported as NOASSERTION. Category and schematic were assigned by keyword heuristics and are unreviewed. GitHub reported NOASSERTION; the licence was read from the LICENSE file as MIT, because GitHub's detector does not recognise open hardware licences.
Not yet verified by a human. Correct this record →
/v1/entries/58.json→ .entries["pm25ml"]
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