carefree-learn is a deep learning library built on PyTorch designed to make neural network development easier. It follows a module-first architecture where models are decomposed into reusable components. The library emphasizes native PyTorch compatibility by avoiding unnecessary inheritance, using dependency injection instead, which improves torch.compile compatibility.