g-filomena/PedSimCity
PedSimCity is an Agent-Based Model for pedestrian movement simulation in urban areas
GitHub repository with 14 stars and 6 forks.
Language: Jupyter Notebook
Topics: agents, landmark, navigation, simulation, urban-elements
PedSimCity is an Agent-Based Model for pedestrian movement simulation in urban areas
GitHub repository with 14 stars and 6 forks.
Language: Jupyter Notebook
Topics: agents, landmark, navigation, simulation, urban-elements
2026-06-05: 14 stars and 6 forks.
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
GitHub repository with 16,986 stars and 4,249 forks.
Trending score: 1.87; stars gained: +8; forks gained: +6.
Language: Jupyter Notebook
Topics: generative-ai, llm, vertex-ai, langchain, gemini, gemini-api
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
GitHub repository with 22,388 stars and 3,751 forks.
Trending score: 1.42; stars gained: +30; forks gained: +1.
Language: Jupyter Notebook
Topics: agents, genai, tutorials, langchain, langgraph, ai
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
GitHub repository with 20,618 stars and 2,739 forks.
Trending score: 1.16; stars gained: +15; forks gained: +1.
Language: Jupyter Notebook
Topics: agent, agent-framework, agents, ai-agents, genai, generative-ai
This is a repository for the course "From Beginner to LLM Developer" by Towards AI.
GitHub repository with 236 stars and 67 forks.
Trending score: 0.30; stars gained: +1; forks gained: +0.
Language: Jupyter Notebook
Topics: agent, agentic, agentic-ai, agents, ai, langchain
Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.
GitHub repository with 2,555 stars and 1,505 forks.
Trending score: 0.12; stars gained: +0; forks gained: +4.
Language: Jupyter Notebook
Topics: google-cloud-platform, machine-learning, tensorflow, adk, agents, generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
GitHub repository with 16,986 stars and 4,249 forks.
Trending score: 1.87; stars gained: +8; forks gained: +6.
Language: Jupyter Notebook
Topics: generative-ai, llm, vertex-ai, langchain, gemini, gemini-api
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.
GitHub repository with 5,624 stars and 1,018 forks.
Trending score: 1.87; stars gained: +93; forks gained: +13.
Language: Jupyter Notebook
GitHub repository with 2,691 stars and 332 forks.
Trending score: 1.82; stars gained: +48; forks gained: +12.
Language: Jupyter Notebook
Build LLM agents and multi-agent systems from scratch, with MCP, Skills, and A2A
GitHub repository with 131 stars and 45 forks.
Trending score: 1.70; stars gained: +32; forks gained: +14.
Language: Jupyter Notebook
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
GitHub repository with 41,902 stars and 8,303 forks.
Trending score: 1.49; stars gained: +23; forks gained: +3.
Language: Jupyter Notebook
Topics: course, data-engineering, dbt, docker, free, kafka
Official implementation of paper "VLM³: Vision Language Models Are Native 3D Learners".
GitHub repository with 218 stars and 9 forks.
Trending score: 1.46; stars gained: +33; forks gained: +0.
Language: Jupyter Notebook
Topics: 3d-foundation-model, camera-pose-estimation, depth-estimation, image-matching, large-language-models, object-level-3d
Learn it. Build it. Ship it for others.
GitHub repository with 28,771 stars and 4,705 forks.
Trending score: 5.32; stars gained: +1,261; forks gained: +238.
Language: Python
Topics: agents, ai, ai-agents, ai-engineering, computer-vision, course
🌊 The leading agent meta-harness for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning swarm intelligence, RAG integration, and native Claude Code / Codex Integration
GitHub repository with 58,019 stars and 6,638 forks.
Trending score: 4.76; stars gained: +401; forks gained: +52.
Language: TypeScript
Topics: claude-code, swarm, agentic-ai, agentic-framework, agentic-rag, agentic-workflow
The agent engineering platform.
GitHub repository with 138,601 stars and 22,962 forks.
Trending score: 4.53; stars gained: +171; forks gained: +31.
Language: Python
Topics: ai, anthropic, gemini, langchain, llm, openai
Lightweight (7MB) Terminal-first AI-native dev workspace
GitHub repository with 6,775 stars and 730 forks.
Trending score: 4.42; stars gained: +213; forks gained: +26.
Language: TypeScript
Topics: ai, code-editor, linux, macos, rust, tauri
Hindsight: Agent Memory That Learns
GitHub repository with 15,764 stars and 898 forks.
Trending score: 4.22; stars gained: +129; forks gained: +10.
Language: Python
Topics: agentic-ai, agents, ai-memory, memory
The Frontend Stack for Agents & Generative UI. React + Angular. Makers of the AG-UI Protocol
GitHub repository with 32,534 stars and 4,185 forks.
Trending score: 3.74; stars gained: +259; forks gained: +31.
Language: TypeScript
Topics: agent, agent-native, agentic-ai, agents, ai, ai-agent