Awesome_Satellite_Benchmark_Datasets VS ml-earth-observation-101

Compare Awesome_Satellite_Benchmark_Datasets vs ml-earth-observation-101 and see what are their differences.

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Awesome_Satellite_Benchmark_Datasets ml-earth-observation-101
1 1
284 1
- -
4.0 5.4
about 1 month ago 9 months ago
Jupyter Notebook Jupyter Notebook
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Awesome_Satellite_Benchmark_Datasets

Posts with mentions or reviews of Awesome_Satellite_Benchmark_Datasets. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-15.

ml-earth-observation-101

Posts with mentions or reviews of ml-earth-observation-101. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Awesome_Satellite_Benchmark_Datasets and ml-earth-observation-101 you can also consider the following projects:

awesome-satellite-imagery-datasets - ๐Ÿ›ฐ๏ธ List of satellite image training datasets with annotations for computer vision and deep learning

lidar-harmonization - Code release for Intensity Harmonization for Airborne LiDAR

ml4eo-bootcamp-2021 - Machine Learning for Earth Observation Training of Trainers Bootcamp

awesome-gis - ๐Ÿ˜ŽAwesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.

awesome-python-for-data-science - A curated list of awesome resources such as books, tutorials, courses, open-source libraries, exercises, and other materials that support Pythonistas in the making, and Pythonistas migrating into Data Science! ๐Ÿ“Š

awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.

homemade-machine-learning - ๐Ÿค– Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

ee_repository_stats - Scraping, parsing, and analyzing every public Earth Engine repository

SatelliteCloudGenerator - A PyTorch-based tool to generate clouds for satellite images.

ML-Workspace - ๐Ÿ›  All-in-one web-based IDE specialized for machine learning and data science.