Repository Index

CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework

• ai4science
• llm
• multiagent-systems
• prompt-engineering

:dart: Accurate sums and dot products for Python.

• mathematics
• numerical-methods
• engineering
• accuracy

The repository host gives no description.

Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy

• biology
• fluorescence
• image-analysis
• image-processing

Toolbox for the analysis of smFISH images.

• pattern-classification
• rna-localization
• segmentation
• smfish

A Python 3.5 rewrite of the TinkerPop 3 OGM Goblin

• tinkerpop
• gremlin
• gremlin-server

RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation

• biological-images
• root
• painter
• segmentation

The repository host gives no description.

:mega: Python library for audio augmentation

• audio
• augmentation
• audio-processing
• sound

Simple Google Maps address formatter for Wagtail fields

• wagtail
• google-maps

Simple Polymorphic x86_64 Runtime Code Segment Cryptor

Guides and scripts for Claude Code on WSL2: screenshot paste, Windows notifications, LSP, and statusline.

• anthropic
• claude-code
• developer-tools
• windows-terminal

GTFS Segments: A fast and efficient library to generate bus stop spacings

• bus
• stop
• distribution
• gtfs-feed

Micropython driver for the HT16K33, a LED matrix, 7-Segment Numeric, and 14-Segment Alphanumeric display driver IC

Vertex Buffers from Blender to Game Maker Studio 2

• blender
• blender-addon
• game-animation
• game-development

MicroPython driver for TM1638 dual quad 7-segment LED modules with switches

• micropython
• tm1638
• wemos-d1-mini
• 7-segment

Tool for segmentation in bioimaging

• napari
• bioimage-analysis

A browser fuzzer augmented by API mod-ref relations

Ashampoo Uninstaller 2026: Complete Desktop Installer for Software Removal

• ashampoo-gmbh
• ashampoo-uninstaller-install-setup-windows-2026
• automation
• desktop

HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.

• image-processing
• images
• image-analysis
• deep-learning

linux version (rewrite in Python)

An interactive tool for segmenting yeast cells using deep learning.

A structured, multi-agent Claude Code learning environment for mastering Retrieval-Augmented Generation (RAG)

Micropython driver for the max7219 with 8 x 7segment display