Stars
Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
BRAID is a department within Genentech dedicated to advancing biological and clinical sciences through artificial intelligence.
Store collections of experimental data based on TileDB
Blazing fast nuclei segmentation for brightfield Whole Slide Images
Codes for paper: Evaluating the Utilities of Large Language Models in Single-cell Data Analysis.
Vitessce is a visual integration tool for exploration of spatial single-cell experiments.
GraphCompass: Graph Comparison Tools for Differential Analyses in Spatial Systems
The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era computer vision solutions.
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
a dataloader to work with large single cell datasets from lamindb
A thoroughly investigated survey for tensorial neural networks.
Sheaves library for graph abstractions based on NetworkX
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
A curated list of awesome Category Theory resources.
Bartosz Milewski's 'Category Theory for Programmers' unofficial PDF and LaTeX source
A research protocol for deep graph matching.
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
A Python implementation of the LEMUR algorithm for analyzing multi-condition single-cell RNA-seq data.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
PyNeuraLogic lets you use Python to create Differentiable Logic Programs
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
Technology-invariant pipeline for spatial omics analysis that scales to millions of cells (Xenium / Visium HD / MERSCOPE / CosMx / PhenoCycler / MACSima / etc)
tools in python and R for analyzing biological count data, especially from single cell RNAseq
List of papers studying machine learning through the lens of category theory