Jupyter Notebook
Showing 36 of 47 projects
A comprehensive guide to Python's essential data science libraries, available as free Jupyter notebooks.
An introduction to Bayesian inference and probabilistic programming using Python and PyMC, with a computational-first approach.
Jupyter notebooks with example code and exercises from the first edition of Hands-on Machine Learning with Scikit-Learn and TensorFlow.
Python implementations of popular machine learning algorithms from scratch with interactive Jupyter demos and mathematical explanations.
A repository of examples, utilities, and best practices for building and deploying production-ready recommendation systems.
An interactive visualization library for modern web browsers, built from Python.
An interactive Jupyter Notebook book teaching Kalman and Bayesian filters through Python code and practical examples.
An interactive, open-source graphing library for Python that creates browser-based visualizations with over 30 chart types.
Generate comprehensive data quality profiles and exploratory data analysis reports for Pandas and Spark DataFrames with a single line of code.
Generate comprehensive data quality profiling and exploratory data analysis reports for Pandas and Spark DataFrames with a single line of code.
A minimal Python library to draw customized, stylized maps from OpenStreetMap data using osmnx, matplotlib, and shapely.
A curated guide to learning machine learning with Python and Jupyter Notebook, featuring courses, notebooks, and practical resources.
A curated guide to learning machine learning with Python and Jupyter Notebook, featuring hands-on tutorials, courses, and ethical considerations.
A lean, cross-platform desktop app for managing code snippets using GitHub Gist.
A Python package for customizing the appearance of Jupyter Notebooks with themes, fonts, and plotting styles.
An automated tool that generates, tests, and ranks AI prompts using GPT-4, GPT-3.5-Turbo, or Claude 3 to find the most effective ones.
A collection of ready-to-run Docker images containing Jupyter applications and interactive computing tools.
A collection of ready-to-run Docker images containing Jupyter applications and interactive computing tools.
A multi-user server that spawns, manages, and proxies multiple instances of single-user Jupyter notebook servers.
An open-source Python framework to evaluate, test, and monitor ML and LLM systems with 100+ built-in metrics.
Convert Jupyter notebooks to and from plain text formats like Markdown, Python, Julia, or R scripts for better version control and editing.
Voilà transforms Jupyter notebooks into secure, standalone web applications with interactive widgets.
Voilà converts Jupyter notebooks into secure, standalone web applications with interactive widgets.
A collection of infrastructure and tools for research in neural network interpretability and visualization.
A curated list of awesome Jupyter projects, libraries, and resources for data science and interactive computing.
A curated list of awesome Jupyter projects, libraries, and resources for data science and interactive computing.
A framework for building interactive web applications directly from Python notebooks, including chats, AI agents, dashboards, and reports.
A cross-platform desktop application for JupyterLab, providing the easiest way to run Jupyter notebooks locally.
An open-source solution for continuous validation of machine learning models and data, from research to production.
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
An open-source threat hunting platform with advanced analytics capabilities built on ELK stack, Apache Spark, and Jupyter notebooks.
A collection of Jupyter notebooks accompanying a 10-part video series teaching machine learning with Python's scikit-learn library.
A Python implementation of the grammar of graphics for creating statistical visualizations.
A Python package for interactive mapping and geospatial analysis with minimal coding in Jupyter notebooks.
A debugging and visualization tool for data science, deep learning, and reinforcement learning in Jupyter Notebook.
A comprehensive collection of machine learning tutorials and implementations in Python, covering algorithms from scratch to production deployment.
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