[ICML 2024] Official environments and JAX-implementations for "Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments"
-
Updated
Jun 29, 2024 - Python
[ICML 2024] Official environments and JAX-implementations for "Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments"
Graph Neural Network Library for PyTorch
Official code for the MICCAI 2024 paper "3D Vessel Graph Generation Using Denoising Diffusion"
Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
Protein Graph Library
Low-Level Graph Neural Network Operators for PyG
🐍🧑🏼💻 Python Framework built on PyTorch and PyTorch Geometric for working with Representation Learning on Graph Neural Networks.
PyTorch Extension Library of Optimized Graph Cluster Algorithms
Redes convolucionales definidas en grafos para la predicción de nuevas asociaciones gen-enfermedad
Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems, synthetic- and real neural datasets. https://agosztolai.github.io/MARBLE/
A library for differentiable robotics.
MaSIF-neosurf: surface-based protein design for ternary complexes.
PyNeuraLogic lets you use Python to create Differentiable Logic Programs
Multi-language library for the calculation of spherical harmonics in Cartesian coordinates
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
Contextualizing protein representations using deep learning on protein networks and single-cell data
Combinatorial prediction of therapeutic perturbations using causally-inspired neural networks
Library to make any existing neural network architecture equivariant
设计一下怎么毕业
Add a description, image, and links to the geometric-deep-learning topic page so that developers can more easily learn about it.
To associate your repository with the geometric-deep-learning topic, visit your repo's landing page and select "manage topics."