molecules topic
biopandas
Working with molecular structures in pandas DataFrames
Deep-Drug-Coder
A tensorflow.keras generative neural network for de novo drug design, first-authored in Nature Machine Intelligence while working at AstraZeneca.
ScaffoldGraph
ScaffoldGraph is an open-source cheminformatics library, built using RDKit and NetworkX, for the generation and analysis of scaffold networks and scaffold trees.
TensorMol
Tensorflow + Molecules = TensorMol
asciiMol
Curses based ASCII molecule viewer for terminals.
datamol
Molecular Processing Made Easy.
EquiBind
EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein
gnn-lspe
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
gcnn_keras
Graph convolutions in Keras with TensorFlow, PyTorch or Jax.
mcmd
Monte Carlo and Molecular Dynamics Simulation Package