Stars
Template repository for analysis of single-cell data and tools.
Jupyter AI persona to help users configure MOFA-FLEX
Evaluation framework for computationally inferred gene networks from single-cell data.
LLM-powered personalized daily lists of scientific papers
Cell2Sentence: Teaching Large Language Models the Language of Biology
Modelling human health trajectories using generative transformers
Arc Virtual Cell Atlas
Turn GitHub repositories into LLM tools. (ACL 2025)
Cellxgene Gateway allows you to use the Cellxgene Server provided by the Chan Zuckerberg Institute (https://github.com/chanzuckerberg/cellxgene) with multiple datasets.
Weakly supervised learning uncovers phenotypic signatures in single-cell data
Composite classifiers for modular hierarchical single cell classification
A single-cell demultiplexing pipeline, the sharp (♯)
SCING: Single-Cell pIpeliNe Garden (pronounced as "sing" /siŋ/)
Single-Cell Analysis of Inter-Individual Variability by Interpretable Tensor Decomposition
Backend library for conversational AI in biomedicine
A python library for hierarchical classification compatible with scikit-learn
Causal Variational AutoEncoders
Causal Effect Inference with Deep Latent-Variable Models
Adapted Triplet loss based metric learning to learn a metric for multilabel points, such that samples with maximum overlap in label sets are close.
Conditional Constrained Graph Variational Autoencoders (CCGVAE) for Molecule Design
An unsupervised scRNA-seq analysis workflow with graph attention networks
Implementation of Graph Auto-Encoders in TensorFlow
StellarGraph - Machine Learning on Graphs