Jupyter
ToolOpen-source projects built with Jupyter
There are currently 182 open-source projects built with Jupyter, with a combined total of 623.2k GitHub stars. The most common language among these projects is Jupyter Notebook.
Showing 182 open-source projects · page 1 of 6
A comprehensive guide to Python's essential data science libraries, available as free Jupyter notebooks.
120+ interactive Python coding interview challenges with Anki flashcards, focusing on algorithms and data structures.
A comprehensive collection of data science Python notebooks covering deep learning, machine learning, big data, visualization, and essential tools.
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.
The fastai book, published as Jupyter Notebooks, provides an introduction to deep learning, fastai, and PyTorch.
Companion materials and IPython notebooks for the 'Python for Data Analysis' book, covering pandas, NumPy, and data science workflows.
Python implementations of popular machine learning algorithms from scratch with interactive Jupyter demos and mathematical explanations.
A collection of Python programs, usually short and challenging, designed to perfect specific programming skills.
An open-source, event-driven algorithmic trading engine for backtesting and live trading across multiple financial markets.
A repository of examples, utilities, and best practices for building and deploying production-ready recommendation systems.
A research project exploring machine learning for generating music, images, and art using deep learning and reinforcement learning.
A collection of hands-on tutorials and practical examples for using Google's Gemini API across text, image, video, audio, and robotics applications.
Generate comprehensive data quality profiling and exploratory data analysis reports for Pandas and Spark DataFrames with a single line of code.
Generate comprehensive data quality profiles and exploratory data analysis reports for Pandas and Spark DataFrames with a single line of code.
Google's IPython Notebook demonstrating neural network art generation using the DeepDream technique.
A standardized, flexible project template for data science work using Cookiecutter to structure reproducible projects.
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 beginner-friendly TensorFlow tutorials with accompanying YouTube videos covering deep learning fundamentals and advanced topics.
Code and Jupyter notebooks for the book 'Introduction to Machine Learning with Python' by Andreas Mueller and Sarah Guido.
A collection of Jupyter notebooks with real-world examples for learning Python's pandas data analysis library.
An open course on reinforcement learning with a practical focus, featuring hands-on labs and comprehensive materials for both online and on-campus students.
An archived experiment integrating TensorFlow's machine learning capabilities directly into the Swift programming language with first-class differentiable programming.
Voilà converts Jupyter notebooks into secure, standalone web applications with interactive widgets.
Voilà transforms Jupyter notebooks into secure, standalone web applications with interactive widgets.
A collection of TensorFlow tutorials covering basics to advanced neural network architectures with Python code and notebooks.
Code repository for the 'Machine Learning with PyTorch and Scikit-Learn' book, providing practical examples and notebooks.
A Python library that automates data visualization and exploration for pandas dataframes in Jupyter notebooks.
A collection of infrastructure and tools for research in neural network interpretability and visualization.
A community-driven open-source project that structures threat hunting workflows using MITRE ATT&CK, Jupyter notebooks, and AI-augmented planning.
A pure-Python graphics library for fast data visualization and GUI tools in scientific and engineering applications.
A suite of visual diagnostic tools that extend scikit-learn to steer machine learning model selection through visualizations.
A free course teaching diffusion models theory and hands-on implementation using Hugging Face's Diffusers library.
An open-source tool for building publication-quality books and documents from computational content like Jupyter notebooks.
A modular Python toolbox for state-of-the-art 6-DoF visual localization using hierarchical image retrieval and feature matching.
A comprehensive collection of tutorials, examples, and resources for understanding and solving machine learning and pattern classification problems.
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