Repository Index

The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

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

• computer-vision
• deep-learning
• drug-discovery
• forecasting

[Legacy] Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..

• templates
• opensource
• naas
• notebooks-templates

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

• drug-repurposing
• deep-learning
• drug-target-interactions
• toolkit

Deep Reinforcement Learning for de-novo Drug Design

• deeplearning
• reinforcement-learning
• cheminformatics
• molecular-modeling

Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.

• disentanglement
• drug-discovery
• genomics
• perturbation

Optimising chemical reactions using machine learning

• chemistry
• machine-learning
• optimization
• bayesian-optimization

UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.

• benchmark
• bioinformatics
• cheminformatics
• computational-chemistry