IgorSusmelj/simsiam-cifar10
Code to train the SimSiam model on cifar10 using PyTorch
This project provides a straightforward way to train a SimSiam model for image classification. It takes a dataset of small images (like CIFAR10) and outputs a trained model capable of classifying those images with high accuracy. This is useful for machine learning researchers and practitioners who need to quickly evaluate or adapt self-supervised learning methods for image recognition tasks.
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Use this if you need a pre-configured, minimal example to train the SimSiam self-supervised learning model on an image classification dataset.
Not ideal if you are looking for a tool to perform image classification without any prior experience in machine learning model training or PyTorch.
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Language
Python
License
MIT
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Last pushed
Oct 15, 2021
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