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A compute graph for loading and transforming OWID's data
GPU-accelerated template matching for cryo-ET
Official implementation of MuViT (CVPR 2026), a ViT-based architecture for multi-scale modelling of gigapixel microscopy images.
Run pytest on markdown code fence blocks
Unified API for streaming camera frames to either OME-TIFF or OME-Zarr format
Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
A modern static site generator by the Material for MkDocs team
A CodecPipeline for zarr-python backed by the zarrs Rust crate
SR-Wiki / SN2N
Forked from WeisongZhao/SN2NOfficial PyTorch implementation of the "SN2N"
Pydantic models for the TensorStore Spec
Accurate and efficient spot detection for microscopy data
Create, manage, and run Jupyter notebooks with their dependencies
Ngio is a Python library to streamline OME-Zarr image analysis workflows.
Transformer-based cell tracking for live-cell microscopy
A local-first personal finance app
Morphological profiling using deep learning
This repository provides DINOSim, a method that leverages the DINOv2 foundation model for zero-shot object detection and segmentation in bioimage analysis. DINOSim uses pretrained DINOv2 embeddings…
A highly customizable and improved version of Carmine Spagnuolo's Twenty Seconds Curriculum Vitae.
Deeplay is a deep learning library in Python that extends PyTorch with additional functionalities focused on modularity and reusability.
Utility for visualizing results on the fly in neuroglancer
DeepTrack2 is a modular Python library for generating, manipulating, and analyzing image data pipelines for machine learning and experimental imaging.
Euclidean distance & signed distance transform for multi-label 3D anisotropic images using marching parabolas.
Powerful system-level package manager for Linux, macOS and Windows written in Rust – building on top of the Conda ecosystem.
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
Loading and handling microscopy data in blender
Gradient based receptive field estimation for Convolutional Neural Networks