Deep and Machine Learning for Microscopy
- microscopy
- materials
- machine-learning
- materials-science
47,133 repositories indexed
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Deep and Machine Learning for Microscopy
MicroPython driver for TM1637 quad 7-segment LED modules
Codebase for "A Foundation Model for Cell Segmentation"
基于 PatchCore 的工业异常检测项目,研究 layer2/layer3 分数融合、敏感性引导收缩与风险受控门控,并提供 Streamlit 工程化 Demo。
Cell tracking and segmentation software
A Python GUI-based framework for segmentation, tracking and cell cycle annotations of microscopy data
PyTorch Connectomics: segmentation toolbox for EM connectomics
Medical LLM agent and MRI segmentation workspace built on PharmaLLM, with LangGraph, vLLM, and BEU-Net.
The official implementation of 'S4VY: Segment Anything in Feed-Forward 4D Visual Geometry'
A tool for cell instance aware segmentation in densely packed 3D volumetric images
Axon/Myelin segmentation using Deep Learning
Agent skill: outline, mask and count objects in photos with Meta's SAM 3 on your own NVIDIA GPU, with review, exports and a viewer. Works with Claude Code, Codex, Cursor, Pi and other Agent Skills clients.
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
Toolbox for the analysis of smFISH images.
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
Simple Polymorphic x86_64 Runtime Code Segment Cryptor
GTFS Segments: A fast and efficient library to generate bus stop spacings
Micropython driver for the HT16K33, a LED matrix, 7-Segment Numeric, and 14-Segment Alphanumeric display driver IC
MicroPython driver for TM1638 dual quad 7-segment LED modules with switches
Tool for segmentation in bioimaging
An interactive tool for segmenting yeast cells using deep learning.
Micropython driver for the max7219 with 8 x 7segment display
A Python library which extracts strokes (outlines) from an SVG file as a series of line segments appropriate for driving pen plotters
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.