SeqDeepFake VS facetorch

Compare SeqDeepFake vs facetorch and see what are their differences.

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SeqDeepFake facetorch
1 6
119 420
- -
5.0 8.7
4 days ago 3 months ago
Python Python
- Apache License 2.0
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.

SeqDeepFake

Posts with mentions or reviews of SeqDeepFake. We have used some of these posts to build our list of alternatives and similar projects.

facetorch

Posts with mentions or reviews of facetorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-23.

What are some alternatives?

When comparing SeqDeepFake and facetorch you can also consider the following projects:

deepfake-detection - DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

pytorch-ssim - pytorch structural similarity (SSIM) loss

dfdc_deepfake_challenge - A prize winning solution for DFDC challenge

deepface - A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

fakeVideoForensics - Detect deep fakes videos

insightface - State-of-the-art 2D and 3D Face Analysis Project

Jetson-Nano-Ubuntu-20-image - Jetson Nano with Ubuntu 20.04 image

bittensor - Internet-scale Neural Networks

torchgeo - TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

HDF5ImageMarker - Utility to making datasets of images and points coordinates that have been marked up on these images by user

pyrallis - Pyrallis is a framework for structured configuration parsing from both cmd and files. Simply define your desired configuration structure as a dataclass and let pyrallis do the rest!

bearid - Hypraptive BearID project. FaceNet for bears.