Sign in

Repository Index

47,133 repositories indexed

Tags: All Tags
Tags

A repository shows when it has any selected Tag.

Filters (1)

Filters

Clear all filters

721–744 of 927 · Most stars

TranslatedA conversational AI Skill based on McDonald's official MCP, supporting meal recommendations, store price comparison, coupon lookup, nutrition calculation, and exploration records, and generating voxel-style shareable images through Python.

NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.

Pyramid configuration with celery integration. Allows you to use pyramid .ini files to configure celery and have your pyramid configuration inside celery tasks.

Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for LLM and agent workflows.

TranslatedWant to eat McDonald's while managing your body shape? This expert helps you put together a McDonald's (麦麦) meal combo based on your daily calorie expenditure. Based on SP matrix theory, it connects nutrition-based selection with the ordering loop through McDonald's official MCP Server (35 official tools · 14 REST endpoints · zero third-party frontend dependencies).

Nosis is a lightweight personal agent runtime: per-session execution boundaries with OS-level sandboxing, computer use, a full built-in toolset, Skill / Plugin / MCP extensions, one runtime shared by GUI and TUI, and file-persisted sessions, plans, and memory.

Source-available semantic and context layer, rule engine, and semantic sidecar for agentic AI and governed analytics. Compiles declarative YAML models into optimized SQL, KPIs, and semantic context across 8 SQL dialects.

CARLA-based cooperative perception system integrating YOLO26n, V2I communication, sensor fusion, TTC risk assessment, and automated braking.

In this project, the Pacman agent will find paths through his maze world, both to reach a particular location and to collect food efficiently. I implemented general search algorithms such as depth-first, breadth-first, uniform cost, and A* search algorithms which are used to solve navigation problems in the Pacman world.

RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation

  • biological-images
  • root
  • painter
  • segmentation