DFSpot-Deepfake-Recognition VS pyc2pa

Compare DFSpot-Deepfake-Recognition vs pyc2pa and see what are their differences.

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DFSpot-Deepfake-Recognition pyc2pa
9 2
89 31
- -
0.0 1.8
over 1 year ago almost 2 years ago
Python Python
MIT License GNU General Public License v3.0 only
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.

DFSpot-Deepfake-Recognition

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

pyc2pa

Posts with mentions or reviews of pyc2pa. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing DFSpot-Deepfake-Recognition and pyc2pa you can also consider the following projects:

deepfake-scanner - Deepfake Scanner by Deepware.

parler-py-api - UNOFFICIAL Python API to interface with Parler.com

AdaTime - [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data

lpub3d - An LDraw™ editor for LEGO® style digital building instructions.

autogluon - AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data [Moved to: https://github.com/autogluon/autogluon]

connaisseur - An admission controller that integrates Container Image Signature Verification into a Kubernetes cluster

DeepFake-Detection - Towards deepfake detection that actually works

scancode-toolkit - :mag: ScanCode detects licenses, copyrights, dependencies by "scanning code" ... to discover and inventory open source and third-party packages used in your code. Sponsored by NLnet project https://nlnet.nl/project/vulnerabilitydatabase, the Google Summer of Code, Azure credits, nexB and others generous sponsors!

dino-vit-features - Official implementation for the paper "Deep ViT Features as Dense Visual Descriptors".

flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

autogluon - Fast and Accurate ML in 3 Lines of Code

pytorch-grad-cam - Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.