AdaTime VS DFSpot-Deepfake-Recognition

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

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AdaTime DFSpot-Deepfake-Recognition
2 9
152 89
- -
6.6 0.0
12 months 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.

AdaTime

Posts with mentions or reviews of AdaTime. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-06.

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.

What are some alternatives?

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

pykale - Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!

deepfake-scanner - Deepfake Scanner by Deepware.

TS-TCC - [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

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

braindecode - Deep learning software to decode EEG, ECG or MEG signals

DeepFake-Detection - Towards deepfake detection that actually works

paper_nava_2023_icra_fault-control-ironcub - Repository associated with the paper "Failure Detection and Fault Tolerant Control of a Jet-Powered Flying Humanoid Robot", published in IEEE ICRA 2023.

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