Stars
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Fine-tune SAM (Segment Anything Model) for computer vision tasks such as semantic segmentation, matting, detection ... in specific scenarios
🎓 Path to a free self-taught education in Computer Science!
Python based viewer for large mulit-dimensional datasets.
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…
SegmenTation Analysis by ParaLlelization of 3D Datasets
🚀✨ Help beginners to contribute to open source projects
"Bioimage analysis in Python" workshop at LMA2021
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Utilities for formatting matplotlib figures
Basic code and automated workflows to produce analysis friendly data from annotated FISH images
Joint training of denoising and segmentation.
Create explorable explanations and interactive essays.
LSTree is a digital organoid and lineage tree extraction workflow for light sheet movies.
An open-source application for the analysis and visualization of segmented vasculature datasets
Software platform for clinical neuroimaging studies
A curated list of deep learning resources for computer vision
A deep learning tool for in situ cell classification of human kidney cells
Cell image classsification with neural networks (MLP, ConvNet) and other statistical ML models (SVM, LDA, LR, etc.).
Notebooks for learning deep learning

