PyTorch EO aims to make Deep Learning for Earth Observation data easy and accessible to real-world cases and research alike.

Last update: Aug 25, 2022

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Deep Learning pytorch_eo

Overview

Pytorch EO

Deep Learning for Earth Observation applications and research.

🚧 This project is in early development, so bugs and breaking changes are expected until we reach a stable version.

Installation

pip install pytorch-eo

Examples

Learn by doing with our examples.

Ready to use Datasets

Challenges

PytorchEO has been used in the following challenges:

EUROAVIA Mission: European Students Space Hackathon, 2021.
On Cloud N: Cloud Cover Detection Challenge (DrivenData, 2021).

Contributing

Read the CONTRIBUTING guide.

Owner

earthpulse

Complex data, made easy

GitHub Repository

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USDAN The implementation of Unified unsupervised and semi-supervised domain adaptation network for cross-scenario face anti-spoofing, which is accepte

11 Nov 03, 2022

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273 Dec 17, 2022

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Point Cloud ToolBox This point cloud processing tool library can be used to process point clouds, 3d meshes, and voxels. Environment python 3.7.5 Dep

40 Dec 09, 2022

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Status: Archive (code is provided as-is, no updates expected) improved-gan code for the paper "Improved Techniques for Training GANs" MNIST, SVHN, CIF

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24 Mar 02, 2022

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4 Nov 28, 2022

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ProxyFL Code accompanying the paper "ProxyFL: Decentralized Federated Learning through Proxy Model Sharing" Authors: Shivam Kalra*, Junfeng Wen*, Jess

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