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Stars
A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.
scTM: A package for topic modelling in transcriptomics data
DeepInverse: a PyTorch library for solving imaging inverse problems using deep learning
A collection of learning resources for curious software engineers
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
Linear solvers in JAX and Equinox. https://docs.kidger.site/lineax
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Unifying Multimodal Variational Autoencoders (VAEs) in Pytorch
A multi-view latent variable model with domain-informed structured sparsity for integrating noisy feature sets.
This repository extends scanpy to handle flow and mass cytometry data.
Hypermodern Python Cookiecutter
A bioinformatics tool for analyzing the heterogeneity of single-cell populations
🚀 Your next Python package needs a bleeding-edge project structure.
A repository of pipelines for single-cell data in Nextflow DSL2
single cell Flux Estimation Analysis (scFEA) Try the below web server!
📍 Interactive Studio for Explanatory Model Analysis
A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.
Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
A collection of resources and papers on Diffusion Models
Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper
Implementations of a rather simple version of the Iterative Closest Point algorithm in various languages.
An R package designed to demultiplex cell hashing data
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning