Jupyter

Python Data Science Handbookjakevdp/PythonDataScienceHandbook

A comprehensive guide to Python's essential data science libraries, available as free Jupyter notebooks.

Interactive, test-driven Python coding challenges (algorithms and data structures) typically found in coding interviews or coding competitionsdonnemartin/interactive-coding-challenges

120+ interactive Python coding interview challenges with Anki flashcards, focusing on algorithms and data structures.

data-science-ipython-notebooksdonnemartin/data-science-ipython-notebooks

A comprehensive collection of data science Python notebooks covering deep learning, machine learning, big data, visualization, and essential tools.

Probabilistic Programming and Bayesian Methods for HackersCamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

An introduction to Bayesian inference and probabilistic programming using Python and PyMC, with a computational-first approach.

handsonmlageron/handson-ml

Jupyter notebooks with example code and exercises from the first edition of Hands-on Machine Learning with Scikit-Learn and TensorFlow.

fastbookfastai/fastbook

The fastai book, published as Jupyter Notebooks, provides an introduction to deep learning, fastai, and PyTorch.

Python for Data Analysis, 3Ewesm/pydata-book

Companion materials and IPython notebooks for the 'Python for Data Analysis' book, covering pandas, NumPy, and data science workflows.

homemade-machine-learningtrekhleb/homemade-machine-learning

Python implementations of popular machine learning algorithms from scratch with interactive Jupyter demos and mathematical explanations.

pytudesnorvig/pytudes

A collection of Python programs, usually short and challenging, designed to perfect specific programming skills.

Microsoft RecommendersMicrosoft/Recommenders

A repository of examples, utilities, and best practices for building and deploying production-ready recommendation systems.

Magentatensorflow/magenta

A research project exploring machine learning for generating music, images, and art using deep learning and reinforcement learning.

LeanQuantConnect/Lean

An open-source, event-driven algorithmic trading engine for backtesting and live trading across multiple financial markets.

Gemini CLI cookbookgoogle-gemini/cookbook

A collection of hands-on tutorials and practical examples for using Google's Gemini API across text, image, video, audio, and robotics applications.

Pandas Profilingpandas-profiling/pandas-profiling

Generate comprehensive data quality profiles and exploratory data analysis reports for Pandas and Spark DataFrames with a single line of code.

YData Profilingydataai/ydata-profiling

Generate comprehensive data quality profiling and exploratory data analysis reports for Pandas and Spark DataFrames with a single line of code.

Google deepdream - Neural Network artgoogle/deepdream

Google's IPython Notebook demonstrating neural network art generation using the DeepDream technique.

Template folder structure for organizing Data Science projectsdrivendata/cookiecutter-data-science

A standardized, flexible project template for data science work using Cookiecutter to structure reproducible projects.

GPT Prompt Engineermshumer/gpt-prompt-engineer

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.

TensorFlow Tutorial 3Hvass-Labs/TensorFlow-Tutorials

A collection of beginner-friendly TensorFlow tutorials with accompanying YouTube videos covering deep learning fundamentals and advanced topics.

Introduction to Machine Learning with Pythonamueller/introduction_to_ml_with_python

Code and Jupyter notebooks for the book 'Introduction to Machine Learning with Python' by Andreas Mueller and Sarah Guido.

pandas cookbookjvns/pandas-cookbook

A collection of Jupyter notebooks with real-world examples for learning Python's pandas data analysis library.

Practical_RLyandexdataschool/Practical_RL

An open course on reinforcement learning with a practical focus, featuring hands-on labs and comprehensive materials for both online and on-campus students.

Swift for Tensorflowtensorflow/swift

An archived experiment integrating TensorFlow's machine learning capabilities directly into the Swift programming language with first-class differentiable programming.

voilavoila-dashboards/voila

Voilà converts Jupyter notebooks into secure, standalone web applications with interactive widgets.

VoilaQuantStack/voila

Voilà transforms Jupyter notebooks into secure, standalone web applications with interactive widgets.

More TensorFlow tutorialspkmital/tensorflow_tutorials

A collection of TensorFlow tutorials covering basics to advanced neural network architectures with Python code and notebooks.

luxlux-org/lux

A Python library that automates data visualization and exploration for pandas dataframes in Jupyter notebooks.

machine-learning-bookrasbt/machine-learning-book

Code repository for the 'Machine Learning with PyTorch and Scikit-Learn' book, providing practical examples and notebooks.

lucidtensorflow/lucid

A collection of infrastructure and tools for research in neural network interpretability and visualization.

ThreatHunter-PlaybookOTRF/ThreatHunter-Playbook

A community-driven open-source project that structures threat hunting workflows using MITRE ATT&CK, Jupyter notebooks, and AI-augmented planning.

yellowbrickDistrictDataLabs/yellowbrick

A suite of visual diagnostic tools that extend scikit-learn to steer machine learning model selection through visualizations.

PyQtGraphpyqtgraph/pyqtgraph

A pure-Python graphics library for fast data visualization and GUI tools in scientific and engineering applications.

Hugging Face Diffusion Models Coursehuggingface/diffusion-models-class

A free course teaching diffusion models theory and hands-on implementation using Hugging Face's Diffusers library.

jupyter-bookexecutablebooks/jupyter-book

An open-source tool for building publication-quality books and documents from computational content like Jupyter notebooks.

pattern_classificationrasbt/pattern_classification

A comprehensive collection of tutorials, examples, and resources for understanding and solving machine learning and pattern classification problems.

hloccvg/Hierarchical-Localization

A modular Python toolbox for state-of-the-art 6-DoF visual localization using hierarchical image retrieval and feature matching.