analog-rl/Easy21
Reinforcement Learning Assignment: Easy21
GitHub repository with 5 stars and 6 forks.
Language: Jupyter Notebook
Reinforcement Learning Assignment: Easy21
GitHub repository with 5 stars and 6 forks.
Language: Jupyter Notebook
2026-07-15: 5 stars and 6 forks.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
GitHub repository with 36,516 stars and 6,056 forks.
Trending score: 5.19; stars gained: +848; forks gained: +149.
Language: Jupyter Notebook
Topics: agents, ai, llms, machine-learning, mcp, rag
18 Lessons to Get Started Building AI Agents
GitHub repository with 69,435 stars and 23,033 forks.
Trending score: 4.11; stars gained: +83; forks gained: +31.
Language: Jupyter Notebook
Topics: agentic-ai, agentic-framework, agentic-rag, ai-agents, ai-agents-framework, autogen
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: 3.78; stars gained: +63; forks gained: +34.
Language: Jupyter Notebook
Topics: ai, chatgpt, dall-e, generativeai, gpt, azure
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
GitHub repository with 17,309 stars and 4,333 forks.
Trending score: 3.39; stars gained: +83; forks gained: +6.
Language: Jupyter Notebook
Topics: generative-ai, llm, vertex-ai, langchain, gemini, gemini-api
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: computer-vision, deep-learning, deep-neural-networks, image-classification, image-segmentation, object-detection
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
GitHub repository with 36,516 stars and 6,056 forks.
Trending score: 5.19; stars gained: +848; forks gained: +149.
Language: Jupyter Notebook
Topics: agents, ai, llms, machine-learning, mcp, rag
18 Lessons to Get Started Building AI Agents
GitHub repository with 69,435 stars and 23,033 forks.
Trending score: 4.11; stars gained: +83; forks gained: +31.
Language: Jupyter Notebook
Topics: agentic-ai, agentic-framework, agentic-rag, ai-agents, ai-agents-framework, autogen
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: 3.78; stars gained: +63; forks gained: +34.
Language: Jupyter Notebook
Topics: ai, chatgpt, dall-e, generativeai, gpt, azure
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
GitHub repository with 17,309 stars and 4,333 forks.
Trending score: 3.39; stars gained: +83; forks gained: +6.
Language: Jupyter Notebook
Topics: generative-ai, llm, vertex-ai, langchain, gemini, gemini-api
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: computer-vision, deep-learning, deep-neural-networks, image-classification, image-segmentation, object-detection