styrofoam
(Alpha) Advanced WSGI router for running multiple separate WSGI applications (by dullbananas)
eo-learn
Earth observation processing framework for machine learning in Python (by sentinel-hub)
styrofoam | eo-learn | |
---|---|---|
1 | 7 | |
2 | 1,078 | |
- | 0.5% | |
0.0 | 8.1 | |
about 3 years ago | 9 days ago | |
Python | Python | |
The Unlicense | 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.
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.
styrofoam
Posts with mentions or reviews of styrofoam.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-01-22.
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Code i wrote when i was 13. All i remember is that i gave up
Opps that's the wrong one. Here's the correct one: https://github.com/dullbananas/styrofoam
eo-learn
Posts with mentions or reviews of eo-learn.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-05.
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What are examples of well-organized data science project that I can see on Github?
I like ours https://github.com/sentinel-hub/eo-learn but of course I am biased
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Machine Learning free courses online for earth science - suggestions?
Sentinel Hub's eo-learn
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World Mosaic Time-lapse 2020 [3020 × 1510] [OC]
Overall description of used tools: - python: eo-learn and sentinelhub-py - gdal for GIS related stuff - ray for cluster computing
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Transitioning from NLP to satellite and image based CV
If you are joining a not small company they probably already have this, but an example is https://github.com/sentinel-hub/eo-learn which is specific to a certain set of satellite data products.
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Land Cover Classification of Istanbul, Turkey [4965x 2512]
Yes, `eo-learn` is just a collection of the existing tools you mention, which harmonizes the workflow for a specific task. Feel free to open ticket on eo-learn github if you have any questions! :)
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[OC] Vegetation of Africa 2019
* Python packages [sentinelhub-py](https://github.com/sentinel-hub/sentinelhub-py) and [eo-learn](https://github.com/sentinel-hub/eo-learn)
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[OC] Earth in a year (2019 True-Color Sentinel-2 L2A data)
Tools: - Python packages sentinelhub-py and eo-learn - GDAL 3.2
What are some alternatives?
When comparing styrofoam and eo-learn you can also consider the following projects:
TF-Watcher - Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle
gdal - GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.