Notebooks Libraries

23 Components & Libraries

Sortby

Notebooks Libraries

Interactive Data Visualization in the browser, from Python

Non-monetary support can help with development, collaboration, infrastructure, security, and vulnerability management. The Bokeh project is grateful to the following companies for their donation of s…

Ready-to-run Docker images containing Jupyter applications

The container remains intact for restart after the Server exits.

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

Have you always wished Jupyter notebooks were plain text documents? Wished you could edit them in your favorite IDE? And get clear and meaningful diffs when doing version control? Then, Jupytext may …

Python code for "Probabilistic Machine learning" book by Kevin Murphy

The notebooks needed to make all the figures are available at the following locations. You can use any of the following options to install the other requirements. Run Then install manually.

The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

A simple YAML API to get started quickly, a powerful Python API for total flexibility. Automatically cache your pipeline’s previous results and only re-compute tasks that have changed since your last…

A powerful data & AI notebook templates catalog: prompts, plugins, models, workflow automation, analytics, code snippets - following the IMO framework to be searchable and reusable in any context.

(aka the "awesome-notebooks") The objective of this repository is to create the largest catalog of production-ready Jupyter Notebooks templates. With those templates, it becomes easy to create data p…

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

Graphistry gets used on problems like visually mapping the behavior of devices and users, investigating fraud, analyzing machine learning results, and starting in graph AI. It provides point-and-clic…

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

For example: Recommended versions:

Multiplatform plotting library based on the Grammar of Graphics

This grammar [...] is made up of a set of independent components that can be composed in many different ways. This makes [it] very powerful because you are not limited to a set of pre-specified graph…

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

This book brings the fundamentals of Machine Learning to you, using tools and techniques used to solve real-world problems in Computer Vision, Natural Language Processing, and Time Series analysis. T…

A reactive notebook for Python: run reproducible experiments, bring data to life with UI elements, execute as a script, deploy as an app, and version with git.

marimo is a reactive notebook for Python. It allows you to rapidly experiment with data and models, code with confidence in your notebook's correctness, and productionize notebooks as pipelines or in…

H2O.ai Machine Learning Interpretability Resources

Machine learning algorithms create potentially more accurate models than linear models, but any increase in accuracy over more traditional, better-understood, and more easily explainable techniques i…

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.

IPyPlot offers 3 main functions which can be used for displaying images in notebooks: and use any of the available plotting functions shown below (notice execution times).

Introduction to Cultural Analytics & Python, course website and online textbook powered by Jupyter Book

The book demonstrates how Python can be used to study cultural materials such as song lyrics, short stories, newspaper articles, tweets, Reddit posts, and film screenplays. It also introduces computa…

machine-learning-with-python-cookbook-notes

(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form

My jupyter notebooks/code samples from Chris Albon's Machine Learning with Python Cookbook

This is where I put things I find useful that speed up my work with Machine Learning. Ever looked in your old projects to reuse those cool functions you created before? Well, this repo is designed to be a Python Library of functions I created in my previous project that can be reused. I also share some Notebooks Tutorials and Python Code Snippets.

I created this repo because I was tired of always looking up same code from older projects and I wanted to gain some experience in building a Python library. By making this available to everyone it g…

Sample scripts and notebooks on processing satellite imagery Python Geospatial raster

Scientific Computing for Chemists text for teaching basic computing skills to chemistry students using Python, Jupyter notebooks, and the SciPy stack. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, NMRglue, SymPy, scikit-image, and scikit-learn.

The following is the textbook used for the Scientific Computing Chemists course intended to teach chemists and chemistry students basic computer programming in Python and Jupyter Notebooks and advanc…

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

You can also launch an interactive environment to play with the code by yourself, using one of these platforms: And more will come... soon! 🚅 You can also launch an interactive environment to play wi…

👁️ An authorial set of fundamental Python recipes on Computer Vision and Digital Image Processing.

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

Data science Python notebooks—a collection of Jupyter notebooks on machine learning, deep learning, statistical inference, data analysis and visualization. This repo contains various Python Jupyter n…