deepfake-detection VS Deep-Fakes

Compare deepfake-detection vs Deep-Fakes and see what are their differences.

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deepfake-detection Deep-Fakes
1 1
86 109
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1.8 0.0
almost 4 years ago about 3 years ago
Jupyter Notebook
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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.

deepfake-detection

Posts with mentions or reviews of deepfake-detection. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-05-07.

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 deepfake-detection and Deep-Fakes you can also consider the following projects:

DFL-Colab - DeepFaceLab fork which provides IPython Notebook to use DFL with Google Colab

DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.

Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

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

Deepfake-Detection

iOS-VCAM - 苹果手机虚拟摄像头 iPhone virtual camera

SeqDeepFake - [ECCV 2022] PyTorch code for SeqDeepFake: Detecting and Recovering Sequential DeepFake Manipulation

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

dfdc_deepfake_challenge - A prize winning solution for DFDC challenge

fakeVideoForensics - Detect deep fakes videos

Deepfake-Detection - The Pytorch implemention of Deepfake Detection based on Faceforensics++

Awesome-DeepFake-Learning - The approach I work on DeepFake.