Awesome-DeepFake-Learning VS Deep-Fakes

Compare Awesome-DeepFake-Learning vs Deep-Fakes and see what are their differences.

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Awesome-DeepFake-Learning Deep-Fakes
1 1
157 109
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1.8 0.0
over 2 years ago about 3 years ago
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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-DeepFake-Learning

Posts with mentions or reviews of Awesome-DeepFake-Learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-15.

Deep-Fakes

Posts with mentions or reviews of Deep-Fakes. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-01.

What are some alternatives?

When comparing Awesome-DeepFake-Learning and Deep-Fakes you can also consider the following projects:

Voice-Cloning-App - A Python/Pytorch app for easily synthesising human voices

DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.

WaveRNN - WaveRNN Vocoder + TTS

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

TTS - πŸΈπŸ’¬ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

iOS-VCAM - θ‹Ήζžœζ‰‹ζœΊθ™šζ‹Ÿζ‘„εƒε€΄ iPhone virtual camera

Awesome-Face-Forgery-Generation-and-Detection - A curated list of articles and codes related to face forgery generation and detection.

Generative-AI - [TPAMI 2023] Multimodal Image Synthesis and Editing: The Generative AI Era