Geometric Deep Learning

PyTorch GeometricPython

A PyTorch library for building and training Graph Neural Networks (GNNs) on structured and irregular data.

GitHub repositoryPython

A comprehensive library for building and training Graph Neural Networks (GNNs) with PyTorch.

Awesome 3D Machine Learning

A curated repository of resources, datasets, and research papers for 3D machine learning, covering computer vision, graphics, and deep learning.

GitHub repositoryPython

A PyTorch library providing GPU-accelerated tools for 3D deep learning, including differentiable rendering and geometric operations.

StellarGraphPython

A Python library for machine learning on graphs and networks, offering state-of-the-art algorithms for tasks like node classification and link prediction.

PointCNNPython

A deep learning framework for feature learning directly from point clouds using X-Conv operations, achieving state-of-the-art results in classification and segmentation.

gradslamPython

An open-source differentiable dense SLAM library for PyTorch, enabling gradient flow from map outputs to sensor inputs.

DGL-LifeSciPython

A Python package for applying graph neural networks to molecular graphs and biological networks in life science research.

GEARSPython

A geometric deep learning model that predicts transcriptional outcomes of single and multi-gene perturbations from single-cell RNA-seq data.

Equivariant MLPJupyter Notebook

A JAX library for automatically generating equivariant neural network layers for arbitrary symmetry groups via constraint solving.

torch-points3dPython

A PyTorch framework for deep learning on point clouds, providing a modular and reproducible foundation for 3D vision tasks.