model VS earth-text

Compare model vs earth-text and see what are their differences.

model

The Clay Foundation Model - An open source AI model and interface for Earth (by Clay-foundation)

earth-text

Adding language to Clay (by Clay-foundation)
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model earth-text
1 1
381 12
6.3% -
8.2 8.9
7 days ago 5 months ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 Apache License 2.0
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.
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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.

model

Posts with mentions or reviews of model. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-09-16.
  • Launch HN: Silurian (YC S24) – Simulate the Earth
    7 projects | news.ycombinator.com | 16 Sep 2024
    We build the equivalent for land, as a non-profit. It's basically a geo Transformer MAE model (plus DINO, plus matrioska, plus ...), but largest and most trained (35 trillion pixels roughly). Most importantly fully open source and open license. I'd love to help you replace land masks with land embeddings, they should significantly help downscale the local effects (e.g. forest versus city) that afaik most weather forecast simplify with static land cover classes at most. https://github.com/Clay-foundation/model

earth-text

Posts with mentions or reviews of earth-text. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-09-16.
  • Launch HN: Silurian (YC S24) – Simulate the Earth
    7 projects | news.ycombinator.com | 16 Sep 2024
    What image size embeddings from what instrument?

    We did try to relate OSM tags to Clay embeddings, but it didn't scale well. We did not give up, but we are re-considering ( https://github.com/Clay-foundation/earth-text ). I think SatClip plus OSM is a better approach. or LLM embeddings mapped to Clay embeddings...

What are some alternatives?

When comparing model and earth-text you can also consider the following projects:

ALUs - GPU accelerated earth observation data processors

SkyScript - Official repo for "SkyScript: A Large and Semantically Diverse Vision-Language Dataset for Remote Sensing"

eoreader - Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.

earth - a project to visualize global weather conditions

Live-Earth-Wallpapers - A collection of all earth related space Images in one script to set as your Desktop background.

awesome-spectral-indices - A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

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