DFSpot-Deepfake-Recognition VS dino-vit-features

Compare DFSpot-Deepfake-Recognition vs dino-vit-features and see what are their differences.

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DFSpot-Deepfake-Recognition dino-vit-features
9 1
89 315
- -
0.0 0.0
over 1 year ago over 1 year ago
Python Python
MIT License MIT License
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.

dino-vit-features

Posts with mentions or reviews of dino-vit-features. 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 dino-vit-features you can also consider the following projects:

deepfake-scanner - Deepfake Scanner by Deepware.

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

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

Kornia - Geometric Computer Vision Library for Spatial AI

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

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

DeepFake-Detection - Towards deepfake detection that actually works

datasets - 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

pyc2pa - Python implementation of C2PA: Coalition for Content Provenance and Authenticity.

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