analisis-numerico-computo-cientifico VS geospatial-data-catalogs

Compare analisis-numerico-computo-cientifico vs geospatial-data-catalogs and see what are their differences.

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analisis-numerico-computo-cientifico geospatial-data-catalogs
1 2
44 482
- 2.9%
0.0 9.5
over 1 year ago 3 days ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 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.

analisis-numerico-computo-cientifico

Posts with mentions or reviews of analisis-numerico-computo-cientifico. We have used some of these posts to build our list of alternatives and similar projects.

geospatial-data-catalogs

Posts with mentions or reviews of geospatial-data-catalogs. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing analisis-numerico-computo-cientifico and geospatial-data-catalogs you can also consider the following projects:

osmnx-examples - Gallery of OSMnx tutorials, usage examples, and feature demonstations.

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

docker-curriculum - :dolphin: A comprehensive tutorial on getting started with Docker!

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

DeepLearning - Contains all my works, references for deep learning

CoastSat - Global shoreline mapping tool from satellite imagery

vqgan-clip-generator - Implements VQGAN+CLIP for image and video generation, and style transfers, based on text and image prompts. Emphasis on ease-of-use, documentation, and smooth video creation.

geospatialdatascience - Course materials for: Geospatial Data Science

Kernels - This is a set of simple programs that can be used to explore the features of a parallel platform.

app - Prototype toolkit for sustainable urban design at the speed of thought.

laser - The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers

felicette - Satellite imagery for dummies.