VisionHOPE
PyTorch implementation of self-modifying visual learning systems
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VisionHOPE is the official PyTorch implementation of a research project on visual backbones that function as self-modifying learning systems. The codebase provides tools for training and deploying these adaptive visual models.
Designed for researchers and developers working with computer vision and deep learning, VisionHOPE enables experimentation with self-modifying neural architectures. The project is open-source and available on GitHub.
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