langchain-ai/langgraph-101
Learn about the fundamentals of LangGraph through a series of notebooks
GitHub repository with 517 stars and 123 forks.
Language: Jupyter Notebook
Learn about the fundamentals of LangGraph through a series of notebooks
GitHub repository with 517 stars and 123 forks.
Language: Jupyter Notebook
Trending score 2.45, freshness score 1.00, stars gained +25, forks gained +4.
2026-07-15: 517 stars and 123 forks.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
GitHub repository with 36,509 stars and 6,054 forks.
Trending score: 5.19; stars gained: +848; forks gained: +149.
Language: Jupyter Notebook
Topics: agents, ai, llms, machine-learning, mcp, rag
12 Weeks, 24 Lessons, AI for All!
GitHub repository with 52,333 stars and 10,587 forks.
Trending score: 3.98; stars gained: +81; forks gained: +24.
Language: Jupyter Notebook
Topics: ai, artificial-intelligence, cnn, computer-vision, deep-learning, gan
21 Lessons, Get Started Building with Generative AI
GitHub repository with 113,024 stars and 60,719 forks.
Trending score: 3.79; stars gained: +58; forks gained: +32.
Language: Jupyter Notebook
Topics: ai, chatgpt, dall-e, generativeai, gpt, azure
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
GitHub repository with 9,554 stars and 1,485 forks.
Trending score: 2.96; stars gained: +46; forks gained: +12.
Language: Jupyter Notebook
Topics: automatic-labeling-system, computer-vision, deep-learning, deep-neural-networks, google-colab, image-classification
GitHub repository with 2,849 stars and 362 forks.
Trending score: 2.91; stars gained: +45; forks gained: +7.
Language: Jupyter Notebook
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 1,703 stars and 346 forks.
Trending score: 2.32; stars gained: +8; forks gained: +2.
Language: Jupyter Notebook
Topics: ai, fine-tuning, model-training, nemotron, nvidia, reinforcement-learning
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
GitHub repository with 36,509 stars and 6,054 forks.
Trending score: 5.19; stars gained: +848; forks gained: +149.
Language: Jupyter Notebook
Topics: agents, ai, llms, machine-learning, mcp, rag
12 Weeks, 24 Lessons, AI for All!
GitHub repository with 52,333 stars and 10,587 forks.
Trending score: 3.98; stars gained: +81; forks gained: +24.
Language: Jupyter Notebook
Topics: ai, artificial-intelligence, cnn, computer-vision, deep-learning, gan
21 Lessons, Get Started Building with Generative AI
GitHub repository with 113,024 stars and 60,719 forks.
Trending score: 3.79; stars gained: +58; forks gained: +32.
Language: Jupyter Notebook
Topics: ai, chatgpt, dall-e, generativeai, gpt, azure
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
GitHub repository with 9,554 stars and 1,485 forks.
Trending score: 2.96; stars gained: +46; forks gained: +12.
Language: Jupyter Notebook
Topics: automatic-labeling-system, computer-vision, deep-learning, deep-neural-networks, google-colab, image-classification
GitHub repository with 2,849 stars and 362 forks.
Trending score: 2.91; stars gained: +45; forks gained: +7.
Language: Jupyter Notebook
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 1,703 stars and 346 forks.
Trending score: 2.32; stars gained: +8; forks gained: +2.
Language: Jupyter Notebook
Topics: ai, fine-tuning, model-training, nemotron, nvidia, reinforcement-learning