Deep Learning with PyTorch made easy 🚀 !
Here are the main design principles:
module first', which means all previous models should be a simple module now.
model should only be related to the training stuffs. If we only want to use the fancy AI models at inference stage, module should be all we need.modules should be as 'native' as possible: no inheritance from base classes except nn.Module should be the best, and previous inheritance-based features should be achieved by dependency injection.
modules to be more torch.compile friendly.carefree-learn is MIT licensed, as found in the LICENSE file.
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Deep Learning with PyTorch made easy
We found that carefree-learn demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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