assembled-cnn
Naruto_Handsign_Classification
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 | - |
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assembled-cnn
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[R] ResNet strikes back: An improved training procedure in timm. There has been significant progress on best practices for training neural nets since ResNet's introduction in 2015. With such advances, a vanilla ResNet-50 reaches 80.4% top-1 accuracy on ImageNet without extra data or distillation.
As far as i know, the assemble-ResNet-50 (https://github.com/clovaai/assembled-cnn) gets 82.8% top-1, though they make some (minor) changes to ResNet-50 architecture.
Naruto_Handsign_Classification
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Naruto Hand Seal Classifier
The repo is https://github.com/yaxan/Naruto_Handsign_Classification
What are some alternatives?
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.