assembled-cnn VS Naruto_Handsign_Classification

Compare assembled-cnn vs Naruto_Handsign_Classification and see what are their differences.

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assembled-cnn Naruto_Handsign_Classification
1 1
330 22
0.6% -
0.0 0.0
over 3 years ago over 1 year 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.
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assembled-cnn

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

Naruto_Handsign_Classification

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

What are some alternatives?

When comparing assembled-cnn and Naruto_Handsign_Classification you can also consider the following projects:

biprop - Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing the network.

awesome-hand-pose-estimation - Awesome work on hand pose estimation/tracking

cvat - Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. [Moved to: https://github.com/cvat-ai/cvat]

SPOT-RNA - RNA Secondary Structure Prediction using an Ensemble of Two-dimensional Deep Neural Networks and Transfer Learning.

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

autogluon - Fast and Accurate ML in 3 Lines of Code

One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.