Toolbox for molecular animations in Blender, powered by Geometry Nodes.
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Updated
Jun 24, 2025 - Python
Molecule is designed to aid in the development and testing of Ansible roles.
Molecule provides support for testing with multiple instances, operating systems and distributions, virtualization providers, test frameworks, and testing scenarios.
Molecule encourages an approach that results in consistently developed roles that are well-written, easily understood and maintained.
Toolbox for molecular animations in Blender, powered by Geometry Nodes.
Python package for graph neural networks in chemistry and biology
Working with molecular structures in pandas DataFrames
Thermodynamics and Phase Equilibrium component of Chemical Engineering Design Library (ChEDL)
Calculate Root-mean-square deviation (RMSD) of two molecules, using rotation, in xyz or pdb format
Molecular Processing Made Easy.
Provision basic metrics exporter for prometheus monitoring tool
Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).
Implementation of MolCLR: "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyG.
[ICLR 2024] Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
Docker Engine clustering using "Swarm Mode" and Ansible
Geometric Latent Diffusion Models for 3D Molecule Generation
torch-molecule is a deep learning package for molecular discovery, designed with an sklearn-style interface for property prediction, inverse design and representation learning.
MoleculeKit: Your favorite molecule manipulation kit
Robust Molecular Structure Recognition with Image-to-Graph Generation
[ICLR 2023] One Transformer Can Understand Both 2D & 3D Molecular Data (official implementation)
grafana.grafana Ansible collection provides modules and roles for managing various resources on Grafana Cloud and roles to manage and deploy Grafana Agent and Grafana
Pre-training Molecular Graph Representation with 3D Geometry, ICLR'22 (https://openreview.net/forum?id=xQUe1pOKPam)
[ICLR 2024] Domain-Agnostic Molecular Generation with Chemical Feedback
Molecule Design using Monte Carlo Tree Search with Neural Rollout
Created by John Dewey
Released February 21, 2017
Latest release 17 days ago