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Gemini Notebook supports AI-assisted research, knowledge retrieval, summarization, or source analysis.

Jupyter Notebook applies AI to data analysis, extraction, visualization, or business intelligence.

Jupyter notebook is a web-based notebook environment for interactive computing.

NotebookLM supports AI-assisted research, knowledge retrieval, summarization, or source analysis.

Progress notes, intake notes and treatment plans magically appear when you.

A Clojure/Clojurescript notebook application/-library based on Gorilla-REPL.

r/notebooklm points to a Reddit community or thread with discussion, updates, troubleshooting, or shared resources.

this VQGAN+CLIP Animations notebook creates or edits images with generative AI and text-based controls.

Supports software work with AI-assisted coding, testing or application development.

MLOps in a notebook - uncover insights, surface problems, monitor, and fine tune your models.

Awesome Free ChatGPT is a code project with source, releases, documentation, or setup notes.

Call Annie is a web guide or update reference covering changes, screenshots, notices, or community notes.

Add various helper functions in Jupyter Notebooks and Jupyter Lab, powered by ChatGPT.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai.

Course materials and notes for Stanford class CS231n: Deep Learning for Computer Vision.

Frankensteinian amalgamation of notebooks, models and techniques for the generation of AI Art and Animations.

Open-source project that provides machine-learning models, research, training resources, or evaluation tools.

Collection of Google Colab Notebooks for ML Arts.

A large Dataset of synchronised Audio, LyrIcs and vocal notes.

Sample code and notebooks for Generative AI on Google Cloud.

Notebook by @johnowhitaker exploring Stable Diffusion details.

Notebooks and code for the book "Introduction to Machine Learning with Python".

IPython notebooks from Data School's video tutorials on scikit-learn.

The power of Chart.js in Jupyter Notebook.