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

Code for running RFdiffusion

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.

A partially latent flow matching model for the joint generation of a protein’s amino acid sequence and full atomistic structure, including both the backbone and side chain.