Showing 1-6 of 6 projects
Efficient visual geometry learning for AI-powered applications with permutation-equivariant representations.
A Python library that improves the stability and accuracy of convolutional neural networks (CNNs) in computer vision tasks.
An implementation of DiffDock, a diffusion-based molecular docking method for binding prediction.
A paper list for equivariant neural networks, a powerful AI architecture for symmetry-aware ML models.
A fast and accurate machine learning library for building interatomic potentials with higher order equivariant message passing.
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond.
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