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University of Washington
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Tensors and Dynamic neural networks in Python with strong GPU acceleration
A list of useful payloads and bypass for Web Application Security and Pentest/CTF
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Computer Networks: A Systems Approach -- Textbook
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Proteina is a new large-scale flow-based protein backbone generator that utilizes hierarchical fold class labels for conditioning and relies on a tailored scalable transformer architecture.