DL-for-satellite-image-analysis | includes short and minimalistic few examples

by gicait Jupyter Notebook Version: Current License: MIT

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kandi X-RAY | DL-for-satellite-image-analysis Summary

DL-for-satellite-image-analysis is a Jupyter Notebook library. DL-for-satellite-image-analysis has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This includes short and minimalistic few examples covering fundamentals of Deep Learning for Satellite Image Analysis (Remote Sensing). Each chapter includes Python Jupyter Notebooks with example codes. And data used in example codes are also included in "data" folders. It's recommended to use computer with an advanced GPU for these exercises. If GPU is not readily available, Google Colab (which provides free GPUs, can be used for these exercises.

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Support

DL-for-satellite-image-analysis has a low active ecosystem.

It has 74 star(s) with 31 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of DL-for-satellite-image-analysis is current.

Quality

DL-for-satellite-image-analysis has no bugs reported.

Security

DL-for-satellite-image-analysis has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

DL-for-satellite-image-analysis is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

DL-for-satellite-image-analysis releases are not available. You will need to build from source code and install.

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DL-for-satellite-image-analysis Key Features

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DL-for-satellite-image-analysis Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install DL-for-satellite-image-analysis

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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