A comprehensive AI/ML learning platform with 9 end-to-end projects covering the full spectrum, from classical ML to production LLM systems. Every project follows industry best-practice structure.
GitHub repository with 54 stars and 13 forks.
Language: Jupyter Notebook
Topics: agentic-ai, deeplearning, genai, llm, machine-learning, machine-learning-algorithms, multi-agent-systems, generative-ai, llmops, mlops
2026-06-05: 54 stars and 13 forks.
Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.
GitHub repository with 3,063 stars and 1,188 forks.
Trending score: 1.87; stars gained: +3; forks gained: +2.
Language: Jupyter Notebook
Topics: agent, agentic-ai, agents, authentication, bedrock, core
Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration. This repository provides a production-ready blueprint for the Agentic Era, allowing you to replace rigid, hard-coded workflows with a dynamic transparent Context Engine that provides 100% transparency.
GitHub repository with 245 stars and 85 forks.
Trending score: 0.81; stars gained: +2; forks gained: +0.
Language: Jupyter Notebook
Topics: agentic-ai, agentic-rag, context-engineering, deterministic-ai, gpt-5-api, mcp
📑 DAYA: Document Aware hYbrid Architecture, A RAG Pipeline for Illustrated Documents (PPTs).
GitHub repository with 8 stars and 0 forks.
Trending score: 0.62; stars gained: +1; forks gained: +0.
Language: Jupyter Notebook
Topics: agentic-ai, ai, document-parser, docx, llm, pdf
Hands-on labs for Microsoft Foundry - Azure's unified PaaS for enterprise AI. Notebooks + Bicep covering provisioning, agents (incl. hosted Copilot SDK + REST), MCP, Foundry IQ knowledge bases, guardrails, red-teaming, and fine-tuning.
GitHub repository with 23 stars and 8 forks.
Trending score: 0.60; stars gained: +1; forks gained: +0.
Language: Jupyter Notebook
Topics: agentic-ai, ai-agents, awesome-list, azure, azure-ai-foundry, bicep
NVIDIA Cosmos is an open platform of world models, datasets, and tools that enables developers to build Physical AI for robots, autonomous vehicles, smart infrastructure, and more.
GitHub repository with 10,220 stars and 666 forks.
Trending score: 4.25; stars gained: +180; forks gained: +15.
Language: Jupyter Notebook
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 6,342 stars and 1,128 forks.
Trending score: 3.79; stars gained: +50; forks gained: +8.
Language: Jupyter Notebook
Reference PyTorch implementation and models for DINOv3
GitHub repository with 10,678 stars and 876 forks.
Trending score: 3.14; stars gained: +70; forks gained: +6.
Language: Jupyter Notebook
Implement a reasoning LLM in PyTorch from scratch, step by step
GitHub repository with 4,508 stars and 662 forks.
Trending score: 2.79; stars gained: +24; forks gained: +1.
Language: Jupyter Notebook
Topics: ai, artificial-intelligence, deep-learning, large-language-models, llms, machine-learning
Examples and guides for using the OpenAI API
GitHub repository with 74,165 stars and 12,554 forks.
Trending score: 2.74; stars gained: +17; forks gained: +5.
Language: Jupyter Notebook
Topics: openai, chatgpt, gpt-4, openai-api
Optimize prompts, code, and more with AI-powered Reflective Text Evolution
GitHub repository with 5,146 stars and 431 forks.
Trending score: 2.72; stars gained: +18; forks gained: +6.
Language: Jupyter Notebook
🌊 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 59,530 stars and 6,886 forks.
Trending score: 4.84; stars gained: +294; forks gained: +53.
Language: TypeScript
Topics: agentic-ai, agentic-framework, agentic-rag, agentic-workflow, agents, ai-agents
Production-ready platform for agentic workflow development.
GitHub repository with 145,315 stars and 22,855 forks.
Trending score: 4.58; stars gained: +200; forks gained: +26.
Language: TypeScript
Topics: agent, agentic-ai, agentic-framework, agentic-workflow, ai, automation
Self-evolving memory across Agent and platform. The one portable memory layer for every agent they use - Claude Code, Codex, OpenClaw, Hermes, and more
GitHub repository with 7,458 stars and 733 forks.
Trending score: 4.26; stars gained: +233; forks gained: +19.
Language: Python
Topics: agent-memory, agentic-ai, ai, chats, clawdbot, clawdbot-skill
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
GitHub repository with 82,814 stars and 9,556 forks.
Trending score: 4.25; stars gained: +151; forks gained: +23.
Language: Python
Topics: agentic-ai, agentic-retrieval, agentic-search, ai, ai-agents, context-engine
Hindsight: Agent Memory That Learns
GitHub repository with 16,425 stars and 938 forks.
Trending score: 4.20; stars gained: +195; forks gained: +11.
Language: Python
Topics: agentic-ai, agents, ai-memory, memory
AgentScope Java: Agent-Oriented Programming for Building LLM Applications
GitHub repository with 3,826 stars and 819 forks.
Trending score: 3.82; stars gained: +104; forks gained: +22.
Language: Java
Topics: agent, agentic, agentic-ai, ai, llm