Deep-Drug-Coder

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

Message Passing Neural Networks for Molecule Property Prediction

A powerful and flexible machine learning platform for drug discovery

Therapeutics Commons (TDC-2): Multimodal Foundation for Therapeutic Science

Python package for graph neural networks in chemistry and biology

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein