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Showing 2 open source projects for "cover"
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Hiera
A fast, powerful, and simple hierarchical vision transformer
...Documentation emphasizes that model weights may have separate licensing and that the code targets practical experimentation for both research and downstream tasks. Community discussions cover topics like dataset pretrains, integration in other frameworks, and comparisons with related implementations. Security and contribution guidelines follow Meta’s open-source practices, and activity shows ongoing interest and usage across the community. -
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PyCls
Codebase for Image Classification Research, written in PyTorch
...Model definitions are concise and modular, making it easy to prototype new blocks or swap backbones while keeping the rest of the pipeline unchanged. Pretrained weights and evaluation scripts cover common datasets, and the logging/metric stack is designed for quick comparison across runs. Practitioners use pycls both as a baseline factory and as a scaffold for new classification backbones.
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