Spatial omics analysis toolbox

StarDist - Object Detection with Star-convex Shapes

Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

Perturbation Analysis in the scverse ecosystem.

Fast symbolic computation, code generation, and nonlinear optimization for robotics

For an education purpose, from-scratch, single-file, python-only pose-graph optimization implementation

Static plotting for spatialdata

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Core Interface and Engine for Vivarium

A highly efficient implementation of Gaussian Processes in PyTorch

PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.

scPerturb: A resource and a python/R tool for single-cell perturbation data

CineVN: Variational network reconstruction for rapid functional cardiac cine MRI

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

Learning Single-Cell Perturbation Responses using Neural Optimal Transport

SpatialGlue is a novel deep learning methods for spatial multi-omics data integration.

Code for "Stable Deep MRI Reconstruction using Generative Priors" (https://ieeexplore.ieee.org/document/10237244)

CellBox in Julia

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Elucidating the Design Space of Diffusion-Based Generative Models (EDM)