Stars
A deep-learning based multi-modal data integration suite that aims to achieve synesis in a flexible manner
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Reimagine state management with CRDTs. Make your app collaborative effortlessly.
Python and R SOMA APIs using TileDB’s cloud-native format. Ideal for single-cell data at any scale.
Cell type annotation with local Large Language Models (LLMs) - Ensuring privacy and speed with extensive customized reports
Quadra: Effortless and reproducible deep learning workflows with configuration files.
Image reading, metadata management, and image writing for Microscopy images in Python
Simple creation of data classes from dictionaries.
py.test fixture for benchmarking code
an SRT simulator for simulating multiple spatial variability in spatial resolved transcriptomics and generating unbiased simulated SRT data
Read in Xenium, CosMx, Vizgen, and STARmap PLUS data as Spatial or SingleCell Experiment object.
Towards a general-purpose foundation model for computational pathology - Nature Medicine
Techniques for deep learning with satellite & aerial imagery
Type and shape validation and serialization for numpy arrays in pydantic models
A list of web-based interactive biological data visualizations.
A toolbox for registering / fusing / stitching large multi-view / multi-positioning image datasets in 2-3D.
Python libraries for loading, running and packaging bioimage.io models
A python package for fitting a wide variety of Mixture Models
OpenTofu lets you declaratively manage your cloud infrastructure.
Non-parametric density inference for single-cell analysis.