A single-cell analysis toolkit to jointly analyze samples from distinct conditions

A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.

Official code for "DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut", NeurIPS 2024

ML models + benchmark for tabular data classification and regression

Python and R SOMA APIs using TileDB’s cloud-native format. Ideal for single-cell data at any scale.

Instance-based uncertainty estimation for gradient-boosted regression trees

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

An ontology of cell types

Repository for Nicheformer: a foundation model for single-cell and spatial omics

A unifying representation of single cell expression profiles that quantifies similarity between expression states and generalizes to represent new studies without additional training.

Development branch of Treeffuser.

Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion models.