DFSpot-Deepfake-Recognition VS autogluon

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

DFSpot-Deepfake-Recognition

Determine whether a given video sequence has been manipulated or synthetically generated (by chinmaynehate)
Deepfakes deepfakes-classification Deep Learning deep-neural-networks siamese-network triplet-loss efficientnet ensemble-learning transfer-learning Pytorch deepfake-detection-challenge faceforensics fake-news vision-transformers
Source Code
colab.research.google.com
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autogluon

AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data [Moved to: https://github.com/autogluon/autogluon] (by awslabs)
Automl Machine Learning Data Science Deep Learning ensemble-learning image-classification Computer Vision Natural Language Processing structured-data object-detection Gluon transfer-learning Pytorch automated-machine-learning scikit-learn autogluon tabular-data hyperparameter-optimization time-series

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DFSpot-Deepfake-Recognition autogluon
9 19
89 5,088
- -
0.0 9.9
over 1 year ago over 1 year ago
Python Python
MIT License Apache License 2.0
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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.

autogluon

Posts with mentions or reviews of autogluon. 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 autogluon you can also consider the following projects:

deepfake-scanner - Deepfake Scanner by Deepware.

mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

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

carefree-learn - Deep Learning ❤️ PyTorch

DeepFake-Detection - Towards deepfake detection that actually works

Auto-PyTorch - Automatic architecture search and hyperparameter optimization for PyTorch

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

NaiveNASlib.jl - Relentless mutation!!

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

featuretools - An open source python library for automated feature engineering

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

DeepCriticalLearning - Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.

DFSpot-Deepfake-Recognition vs deepfake-scanner autogluon vs mljar-supervised DFSpot-Deepfake-Recognition vs AdaTime autogluon vs carefree-learn DFSpot-Deepfake-Recognition vs DeepFake-Detection autogluon vs Auto-PyTorch DFSpot-Deepfake-Recognition vs dino-vit-features autogluon vs NaiveNASlib.jl DFSpot-Deepfake-Recognition vs pyc2pa autogluon vs featuretools DFSpot-Deepfake-Recognition vs flow-forecast autogluon vs DeepCriticalLearning