3D-Xception

amilworks

Facebook DeepFake Detection Challenge: PyTorch 3D Xception Network for Video Classification

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6 Stars

0 Forks

6 Watchers

Jupyter Notebook Language

mit License

Cost to Build

$19.1K

Market Value

$11.3K

How is this calculated?

Growth over time

1 data points · 2021-08-06 → 2021-08-06

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What is the amilworks/3D-Xception GitHub project? Description: "Facebook DeepFake Detection Challenge: PyTorch 3D Xception Network for Video Classification". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone 3D-Xception

Clone via HTTPS

git clone https://github.com/amilworks/3D-Xception.git

Clone via SSH

[email protected]:amilworks/3D-Xception.git

Download ZIP

Download master.zip

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