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generative-ai GitHub repositories

Explore 113 tracked GitHub repositories tagged generative-ai. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-28. The collection gained 2,001 stars since the previous daily snapshot.

Tracked repositories
113
Total stars
1,347,166
Stars gained · 7 days
+16,393
Stars gained · 30 days
+63,774

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Star activity for generative-ai repositories on this page
RepositoryTotal starsToday7 days30 days
oracle-devrel/oracle-ai-developer-hub4.5K+3+7+54
beam-cloud/beta91.8K+3+7+40
Azure/agent-landing-zone1.2K+3+7+18
invergent-ai/surogate859+3+3+31
aurelio-labs/semantic-router4.0K+2+18+52

Explore repositories

Showing 51–100 of 113 tracked repositories.

JetBrains/koog

Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems
★ 4.6K+2 todayKotlin
llmai
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NVIDIA-AI-Blueprints/video-search-and-summarization

NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automated reporting. The VSS Blueprint uses vision language models (VLMs) such as NVIDIA Cosmos, LLMs such as NVIDIA Nemotron, RAG, and NVIDIA NIMs.
★ 2.0K+1 todayPython
ragskills
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calmrocks/ai-engineer-notebooks

Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.
★ 712+0 todayJupyter Notebook
llmmcp
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TimeCopilot/timecopilot

TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and detect anomalies using multiple foundation models through a single API. From finance and energy to web analytics, TimeCopilot turns natural-language queries into production-ready forecasts.
★ 627+0 todayPython
machine-learningagentic-ai
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