These-People-Do-Not-Exist
AI that generates human faces which have never been seen before. The future is now đ (by badass-techie)
DEEPFAKE-AUDIO
An audio deepfake is when a âclonedâ voice that is potentially indistinguishable from the real personâs is used to produce synthetic audio. (by Amey-Thakur)
These-People-Do-Not-Exist | DEEPFAKE-AUDIO | |
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2 | 1 | |
15 | 45 | |
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0.0 | 10.0 | |
over 2 years ago | over 1 year ago | |
Python | Python | |
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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.
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.
These-People-Do-Not-Exist
Posts with mentions or reviews of These-People-Do-Not-Exist.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-28.
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Github
two
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TinyML: Deploying TensorFlow models to Android
A while back, researchers at NVIDIA released StyleGAN, a machine learning model that synthesizes images of pretty much anything from random noise, say images of landscapes, art, people, or vehicles. I saw a demo of it and it honestly blew my mind. Shortly after I implemented StyleGAN myself.
DEEPFAKE-AUDIO
Posts with mentions or reviews of DEEPFAKE-AUDIO.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing These-People-Do-Not-Exist and DEEPFAKE-AUDIO you can also consider the following projects:
Mask-RCNN-TF2 - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
DeepFake-Detection - Towards deepfake detection that actually works
image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.
deepfake-scanner - Deepfake Scanner by Deepware.
IAmNotReal - App that uses machine learning to generate human faces
DeepFaceLive - Real-time face swap for PC streaming or video calls
fakeVideoForensics - Detect deep fakes videos
ALAE - [CVPR2020] Adversarial Latent Autoencoders
FaceFusion - Next generation face swapper and enhancer
Crystal-Rush - An open world platformer game
robin - RObust document image BINarization
These-People-Do-Not-Exist vs Mask-RCNN-TF2
DEEPFAKE-AUDIO vs DeepFake-Detection
These-People-Do-Not-Exist vs image-quality-assessment
DEEPFAKE-AUDIO vs deepfake-scanner
These-People-Do-Not-Exist vs IAmNotReal
DEEPFAKE-AUDIO vs DeepFaceLive
These-People-Do-Not-Exist vs deepfake-scanner
DEEPFAKE-AUDIO vs fakeVideoForensics
These-People-Do-Not-Exist vs ALAE
DEEPFAKE-AUDIO vs FaceFusion
These-People-Do-Not-Exist vs Crystal-Rush
These-People-Do-Not-Exist vs robin