Kosmos: An AI Scientist for Autonomous Discovery - An implementation and adaptation to be driven by Claude Code or API - Based on the Kosmos AI Paper - https://arxiv.org/abs/2511.02824

Modular toolkit for rapidly building and customizing transformer architectures.

Unified knowledge-driven network inference from omics data

Cosine Similarity Optimization for DIA qualitative and quantitative analysis

Framework for sensitive DE testing (using neighbourhoods)

Python implementation of Milo for differential abundance testing on KNN graph

A playbook for systematically maximizing the performance of deep learning models.

Keras layers for end-to-end learning with rdkit and pymatgen

Feature finding algorithm for detection of isotope patterns in HPLC mass spectrometry data.