nachiket273/pytorch_resnet_rs
Pytorch implementation of "Revisiting ResNets: Improved Training and Scaling Strategies"(https://arxiv.org/pdf/2103.07579.pdf)
This project provides pre-trained neural network models that are highly effective for image recognition tasks. It takes raw image data as input and outputs classifications or features, helping machine learning engineers build more robust and accurate computer vision systems without starting from scratch. These models incorporate advanced training techniques for better performance.
No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher working on computer vision applications and need powerful, pre-trained image classification models.
Not ideal if you are looking for a complete end-user application for image classification rather than a set of tools to integrate into your own machine learning pipeline.
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36
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6
Language
Python
License
MIT
Category
Last pushed
Jun 25, 2022
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