Awesome_Satellite_Benchmark_Datasets VS awesome-bigdata

Compare Awesome_Satellite_Benchmark_Datasets vs awesome-bigdata and see what are their differences.

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Awesome_Satellite_Benchmark_Datasets awesome-bigdata
1 3
284 12,813
- -
4.0 1.0
about 1 month ago 20 days ago
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.

awesome-bigdata

Posts with mentions or reviews of awesome-bigdata. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-13.

What are some alternatives?

When comparing Awesome_Satellite_Benchmark_Datasets and awesome-bigdata you can also consider the following projects:

awesome-satellite-imagery-datasets - 🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

tensorbase - TensorBase is a new big data warehousing with modern efforts.

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

NEPSE-Data-Visualizer-with-Streamlit - This is a repository to do data visualization of Nepal Stock Exchange data.

ml-earth-observation-101 - An introduction to applying machine learning to satellite imagery (remote sensing).

datascience - Curated list of Python resources for data science.

awesome-gis - 😎Awesome 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.

yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

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

ActivitySchema - Repository for the ActivitySchema spec and supporting materials

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

awesome-dataviz - :chart_with_upwards_trend: A curated list of awesome data visualization libraries and resources.