A latent text-to-image diffusion model

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Image restoration with neural networks but without learning.

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

Collection of useful data science topics along with articles, videos, and code

Segment Anything for Microscopy

Respository for Open-Science modular microscope system.

GPU-accelerated bio-image analysis focusing on 3D+t microscopy image data

Lecture materials "Bio-image analysis, biostatistics, programming and machine learning for computational biology" at the Center of Molecular and Cellular Bioengineering (CMCB) / University of Techn…

Open source Python library for building bioimage analysis pipelines

🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).

A napari plugin for direct 3D cell segmentation -- taking you through training, inference, and review of masks

an extension that wraps a Cellpose environment such that WSI can be analyzed using Cellpose through QuPath.

SplineDist: Automated Cell Segmentation with Spline Curves

Code accompanying our manuscript "Coordinated cellular neighborhoods orchestrate antitumoral immunity at the colorectal cancer invasive front"

NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation

Your Personal Assistant in Computational Bioimaging.

A neural network software for using Molecular labelling to improve pathological annotation of H and E tissues

Create web-based OME-Zarr galleries

The Detectron 2 MaskRCNN implementation for the PanNuke Dataset (https://jgamper.github.io/PanNukeDataset/).

Vectra Imaging Quality Control and Processing Pipeline