gaozijun/CELLO

CASCADE: context-aware single-cell modelling links cellular programmes to patient-level disease phenotypes

Tahoe-x1 is a family of perturbation-trained single-cell foundation models with up to 3 billion parameters, developed by Tahoe Therapeutics. Pretrained on 266 million single-cell transcriptomic profiles including the Tahoe-100M perturbation compendium, Tahoe-x1 achieves state-of-the-art performance…

# nano-scGPT The simplest, fastest repository for scGPT inference, (soon) finetuning and trianing, with minimal dependencies. It reimplements the original scGPT from scratch. nanoscgpt/model.py is pure PyTorch in ~270 lines of code, and nanoscgpt/scGPT_tokenizer.py turns raw scRNA data into model…

scRep is a PyTorch model for extracting cell embeddings from single-cell RNA-seq AnnData (.h5ad) inputs. This repository is a standalone Hugging Face release bundle: it includes checkpoint weights, the exact paired gene vocabulary, the inference implementation, and runnable examples.