State-of-the-art bio cell models for inference and training. Minimal, readable, and produciton-ready.
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Updated
Oct 19, 2026 - Python
State-of-the-art bio cell models for inference and training. Minimal, readable, and produciton-ready.
The simplest repo for scGPT inference, finetuning and training.
Reference-free, privacy-preserving wastewater pathogen surveillance for federated hospital networks. DNABERT-2 embeddings + Transformer-encoder VAE detect emerging anomaly clusters in unclassified reads. AIxBio Hackathon Track 2, Apart Research.
Investigation into ML explainability/interpretability techniques, analysing the behaviour of ML models trained to predict whether a medical abstract is or is not related to pathogens.
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