satellite-image-deep-learning
This page lists resources for
performing deep learning on satellite
imagery. To a lesser extent classical
Machine learning (e.g. random forests)
are also discu...
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Nixtla
StatsForecast offers a collection of
widely used univariate time series
forecasting models, including automatic
ARIMA, ETS, CES, and Theta modeling
optimized f...
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Clay Foundation Model
The Clay Foundation Model is an
open-source AI model and interface
designed to provide comprehensive data
and insights about Earth. It aims to
serve as a found...
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Techniques
This repository is a comprehensive,
curated collection of deep learning
techniques and best practices
specifically applied to satellite and
aerial imagery. It ...
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peridot-release
. ...
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CpDB
This software allows us to create a
relational database in PostgreSQL
hosting full bacterial genomes. Besides
the database, there is software, like a
parser, t...
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chickernel redmi note 12/13 4G
A kernel carefully optimized for -
low-memory, and performance - moderate
power savings Speciifically crafted (and
tested) for the 4GB variant in mind ??
tapas...
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DarkLight Cover/Calibrator
The DarkLight Cover/Calibrator (DLC) is
a DIY project to build a motorized
telescope cover, flat panel, or a
combination flip-flat system. Its
modular design s...
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ColorSchemes.jl
Color schemes, colormaps, gradients,
and palettes. Choose ColorSchemes with
care. Refer to Peter Kovesi's
PerceptualColourMaps package, or to
Fabio Crameri...
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