The fastai book, published as Jupyter Notebooks

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

📚 Parameterize, execute, and analyze notebooks

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

Google Colaboratory Notebooks and Repositories (by @firmai)

📝 An interesting markdown note taking application

A cli tool to convert and manage jupyter notebook blogs. Proudly host your notebooks even as a static site.

The hands-on NLTK tutorial for NLP in Python

4 different recommendation engines for the MovieLens dataset.

Jupyter Notebooks with Deep Learning Tutorials

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

我是Mokou， 📘 这里是写前端博客和备忘学习的地方。Vue3 源码解析连载中。喜欢请Star。

A series of Jupyter Notebooks on exploring Unidata technology with Python. See website for more information.

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

Curated Notebooks from STScI

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Tutorials on using JuMP for mathematical optimization in Julia

A Python toolbox for quantitative, reproducible flow cytometry analysis

IPython Notebooks

Interactive computing for complex data processing, modeling and analysis in Python 3

X lines of Python

Sample sample scripts and notebooks on processing satellite imagery

📓 A growing collection of Jupyter Notebooks written in Python, OCaml and Julia for science examples, algorithms, visualizations etc

Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis and visualization.

A Repo to store the Google Colaboratory Notebooks that I have created and shared

Notebooks for the "ML from the Fundamentals" series