SaaSHub helps you find the best software and product alternatives Learn more →
Top 23 Jupyter Notebook generative-ai Projects
-
View on GitHub
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
-
-
A free, structured 11-lesson course to start AI agents the right way. Think of it as turn-by-turn directions for agents, minus the detours and dead ends. Link: https://github.com/microsoft/ai-agents-for-beginners
-
For anyone wondering “how slow is this?”
IIUC, Kimi K3 on RTX 6000 Ada (48GB) takes 292 s/token
https://github.com/lyogavin/airllm/releases/tag/v3.1.0
-
agents-towards-production
End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.
Project mention: Show HN: GibRAM an in-memory ephemeral GraphRAG runtime for retrieval | news.ycombinator.com | 2026-01-17GraphRAG's approach certainly makes sense for regulation-heavy documents, where interconnected references can be critical for retrieval quality. The challenge you mentioned about separate systems for graph storage and vector indexing resonates with what we've seen in the field. In practice, this separation often adds unnecessary complexity for ephemeral analysis tasks. One thing we've explored is using a dual-memory architecture, which might be relevant here even in an in-memory context. It allows you to effectively manage recent context and longer-term semantic connections without the overhead of persistent storage. If you're interested in seeing how this approach could be integrated into production systems, I wrote up some patterns that might be useful: https://github.com/NirDiamant/agents-towards-production.
-
generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform
Project mention: Building an Agentic FinOps Platform — Development Environment Setup, Google Antigravity, MCPs and Skills, and ADK Bootstrapping with Agents CLI | dev.to | 2026-07-13 -
VAR
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation! (by FoundationVision)
-
evidently
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Project mention: Why Your Neural Network Fails Silently and How to Actually Debug It | dev.to | 2026-04-25Set up drift detection. Compare weekly distributions of model inputs against your training data baseline. Tools like Evidently make this straightforward.
-
mmagic
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
-
oracle-ai-developer-hub
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
Several techniques are used to overcome this architectural limitation, and the folks at Oracle have some interesting examples. Their GitHub repo, oracle-ai-developer-hub showcases some different approaches. Through Jupyter notebooks like memory_context_engineering_agents.ipynb and RAG examples, Agent memory stops being a feature and becomes an engineering discipline.
-
Project mention: Persistent multi-agent conversations with the OpenAI Agents SDK and MongoDB | dev.to | 2026-04-27
Python 3.10+, an OpenAI API key, and either a local mongod or a MongoDB Atlas cluster. Nothing in the demo requires Atlas-only features — a 27017 on localhost is fine.
-
agentic-rag-for-dummies
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
-
awesome-generative-ai
A curated list of Generative AI tools, works, models, and references (by filipecalegario)
-
git clone https://github.com/a2aproject/a2a-samples.git # Enter server directory cd samples/python/agents/beeai-chat # Create virtual environment and install dependencies with uv uv venv source .venv/bin/activate # Linux/macOS uv pip install -e . # Important note uv add "a2a-sdk[http-server]" # Start server uv run python __main__.py
-
amazon-bedrock-samples
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
Project mention: Batch LLM Jobs vs Realtime APIs — Bulk Summarization Cost Attribution | dev.to | 2026-08-12 -
Project mention: "Deep Generative Modeling": Introductory Examples | news.ycombinator.com | 2026-05-16
-
recipes
This repository shares end-to-end notebooks on how to use various Weaviate features and integrations! (by weaviate)
-
-
vertex-ai-samples
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
-
-
Project mention: Show HN: Steerling-8B, a language model that can explain any token it generates | news.ycombinator.com | 2026-02-24
Take a look at the link in the blogposts. Here is a github link as well: https://github.com/guidelabs/steerling. The model weights are on huggingface, so you can play with it.
-
Fueling-Ambitions-Via-Book-Discoveries
This series uncovers the most valuable insights from groundbreaking books in AI, Machine Learning, and Data Science, helping you accelerate your learning journey. Each episode transforms complex theories into practical knowledge, making advanced topics more accessible and actionable.
-
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Jupyter Notebook generative-ai discussion
Jupyter Notebook generative-ai related posts
-
Batch LLM Jobs vs Realtime APIs — Bulk Summarization Cost Attribution
-
AirLLM 70B inference with single 4GB GPU
-
AirLLM: Kimi K3 (2.8T) inference with single 4GB GPU
-
How to Count Gemini Tokens Locally
-
OpenAI models on Bedrock make AI deployment less messy
-
Engineering Agent Memory
-
Persistent multi-agent conversations with the OpenAI Agents SDK and MongoDB
-
A note from our sponsor - SaaSHub
www.saashub.com | 19 Aug 2026
Index
What are some of the best open-source generative-ai projects in Jupyter Notebook? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | generative-ai-for-beginners | 117,740 |
| 2 | LLMs-from-scratch | 102,543 |
| 3 | ai-agents-for-beginners | 72,275 |
| 4 | airllm | 31,210 |
| 5 | agents-towards-production | 21,242 |
| 6 | generative-ai | 17,590 |
| 7 | VAR | 8,726 |
| 8 | evidently | 7,810 |
| 9 | mmagic | 7,448 |
| 10 | oracle-ai-developer-hub | 4,336 |
| 11 | GenAI-Showcase | 4,257 |
| 12 | agentic-rag-for-dummies | 3,895 |
| 13 | awesome-generative-ai | 3,517 |
| 14 | a2a-samples | 1,727 |
| 15 | amazon-bedrock-samples | 1,487 |
| 16 | intro_dgm | 1,316 |
| 17 | recipes | 944 |
| 18 | daam | 798 |
| 19 | vertex-ai-samples | 779 |
| 20 | beyondllm | 296 |
| 21 | steerling | 239 |
| 22 | Fueling-Ambitions-Via-Book-Discoveries | 221 |
| 23 | PandasAI-Tutorials | 195 |
Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com