Protein Graph Library
MIT License
A library for graph deep learning research
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
A repository with exploration into using transformers to predict DNA ↔ transcription factor binding
Fetch and visualize the graph of your Twitter friends and followers.
Skeletonize densely labeled 3D image segmentations with TEASAR. (Medial Axis Transform)
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details...
A python module for scientific analysis of 3D data based on VTK and Numpy
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
🔧 Python Random Graph Generator
Platform for designing and evaluating Graph Neural Networks (GNN)
The aim of auto-paper is to give you tips, tricks, and tools to accelerate your publication rate ...
Implementation of Alphafold 3 in Pytorch
Combinatorial Complex Score-based Diffusion model using stochastic differential equations
Replicated Focusing Belief Propagation algorithm
Python package built to ease deep learning on graph, on top of existing DL frameworks.