Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
GitHub repository with 1,249 stars and 266 forks.
Language: Jupyter Notebook
Topics: ai, fine-tuning, model-training, nemotron, nvidia, reinforcement-learning
Trending score 1.44, activity score 0.05, stars gained +31, forks gained +2.
2026-06-04: 1,249 stars and 266 forks.
Developer Asset Hub for NVIDIA Nemotron — A one-stop resource for training recipes, usage cookbooks, datasets, and full end-to-end reference examples to build with Nemotron models
GitHub repository with 1,249 stars and 266 forks.
Trending score: 1.44; stars gained: +31; forks gained: +2.
Language: Jupyter Notebook
Topics: ai, fine-tuning, model-training, nemotron, nvidia, reinforcement-learning
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
GitHub repository with 3,649 stars and 667 forks.
Trending score: 1.35; stars gained: +25; forks gained: +3.
Language: Jupyter Notebook
Topics: artificial-intelligence, generative-ai, kubernetes, kustomize, oraclejet, rag
Google Research
GitHub repository with 38,064 stars and 8,425 forks.
Trending score: 1.13; stars gained: +11; forks gained: +1.
Language: Jupyter Notebook
Topics: machine-learning, ai, research
An open, large-scale, interactive textbook.
GitHub repository with 161 stars and 16 forks.
Trending score: 1.13; stars gained: +14; forks gained: +0.
Language: Jupyter Notebook
Topics: ai, computer-science, edcuational, learning-resources, data-science, deep-learning
Multi-agent systems, memory, planning, reasoning loops
GitHub repository with 2,670 stars and 585 forks.
Trending score: 1.04; stars gained: +11; forks gained: +0.
Language: Jupyter Notebook
Topics: aiagents, agent-skills, agentic-ai, agentic-ai-development, agentic-coding, agentic-engineering
A hands-on course for building modern LLMs from scratch in PyTorch, with 23 runnable Jupyter Notebooks covering tokenizers, attention, MoE, RLHF, inference, evaluation, and distillation.
GitHub repository with 37 stars and 9 forks.
Trending score: 0.87; stars gained: +1; forks gained: +1.
Language: Jupyter Notebook
Topics: ai, attention, finetune, gpt, large-language-models, llm
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 8,986 stars and 579 forks.
Trending score: 2.37; stars gained: +326; forks gained: +20.
Language: Jupyter Notebook
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
GitHub repository with 16,981 stars and 4,250 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 5,599 stars and 1,012 forks.
Trending score: 1.87; stars gained: +93; forks gained: +13.
Language: Jupyter Notebook
GitHub repository with 2,680 stars and 331 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 124 stars and 44 forks.
Trending score: 1.70; stars gained: +32; forks gained: +14.
Language: Jupyter Notebook
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
GitHub repository with 30,756 stars and 3,013 forks.
Trending score: 1.60; stars gained: +31; forks gained: +4.
Language: Jupyter Notebook
Topics: llm, chatglm, internlm2, llama3, lora, minicpm
The agent that grows with you
GitHub repository with 180,948 stars and 31,037 forks.
Trending score: 5.95; stars gained: +1,867; forks gained: +361.
Language: Python
Topics: ai, ai-agent, ai-agents, anthropic, chatgpt, claude
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 60-95% fewer tokens, same answers. Library, proxy, MCP server.
GitHub repository with 12,420 stars and 807 forks.
Trending score: 5.69; stars gained: +2,829; forks gained: +175.
Language: Python
Topics: agent, ai, anthropic, claude-code, compression, context-engineering
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
GitHub repository with 140,042 stars and 20,111 forks.
Trending score: 5.04; stars gained: +317; forks gained: +58.
Language: Python
Topics: ollama, ollama-webui, llm, webui, self-hosted, llm-ui
#1 Persistent memory for AI coding agents based on real-world benchmarks
GitHub repository with 21,191 stars and 1,748 forks.
Trending score: 4.98; stars gained: +433; forks gained: +40.
Language: TypeScript
Topics: agentmemory, agents, ai, claude, claudecode, codex
The API to search, scrape, and interact with the web at scale. 🔥
GitHub repository with 128,681 stars and 7,663 forks.
Trending score: 4.80; stars gained: +954; forks gained: +49.
Language: TypeScript
Topics: ai, ai-agents, ai-crawler, ai-scraping, ai-search, crawler
Write HTML. Render video. Built for agents.
GitHub repository with 24,318 stars and 2,259 forks.
Trending score: 4.72; stars gained: +732; forks gained: +60.
Language: TypeScript
Topics: ai, animation, ffmpeg, framework, gsap, html