12 Weeks, 24 Lessons, AI for All!
GitHub repository with 52,333 stars and 10,587 forks.
Language: Jupyter Notebook
Topics: ai, artificial-intelligence, cnn, computer-vision, deep-learning, gan, machine-learning, microsoft-for-beginners, nlp, rnn
Trending score 3.98, freshness score 1.00, stars gained +81, forks gained +24.
2026-07-15: 52,333 stars and 10,587 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
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
Learn about the fundamentals of LangGraph through a series of notebooks
GitHub repository with 517 stars and 123 forks.
Trending score: 2.45; stars gained: +25; forks gained: +4.
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
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
GitHub repository with 383,040 stars and 80,428 forks.
Trending score: 4.32; stars gained: +107; forks gained: +47.
Language: TypeScript
Topics: ai, assistant, crustacean, molty, openclaw, own-your-data
📊 Automated hourly benchmarks for 20+ NVIDIA NIM models — interactive dashboard, zero infra, self-hostable. Open-source & community-driven.
GitHub repository with 33 stars and 10 forks.
Trending score: 0.83; stars gained: +1; forks gained: +0.
Language: JavaScript
Topics: ai, benchmark, dashboard, github-actions, llm, machine-learning
A SillyTavern extension providing a multi-tier memory and narrative context system for AI roleplay. Tracks character facts, relationship history, per-character knowledge and secrets, entity state, scene history, story arcs, and rolling summaries - extracted automatically so your AI stays coherent no matter how long the story runs.
GitHub repository with 33 stars and 4 forks.
Trending score: 0.60; stars gained: +1; forks gained: +0.
Language: JavaScript
Topics: ai, context-management, llm, memory, ollama, roleplay
A documentation rendering engine built with Vue 3, Quasar v2 and Vite with AI features.
GitHub repository with 21 stars and 2 forks.
Trending score: 0.00.
Language: JavaScript
Topics: ai, ai-friendly, ai-tools, anchor-navigation, builder, documentation
Entity intelligence for any company, market, or question — not a chatbot that answers once, but a system that synthesizes with sources, turns each run into a reusable artifact, and watches for change later. Five-surface app + deep-work Workspace, Convex state, and a hosted public research MCP (npx nodebench-mcp).
GitHub repository with 14 stars and 2 forks.
Trending score: 0.00.
Language: TypeScript
Topics: agents, ai, context-packs, convex, entity-intelligence, mcp
A comprehensive mental health monitoring application using modern web technologies.
GitHub repository with 21 stars and 3 forks.
Trending score: 0.00.
Language: HTML
Topics: ai, android-application, arduino-ide, deep-learning, esp32, mechine-learing