Python Data Science Handbook: full text in Jupyter Notebooks

Learn how to design, develop, deploy and iterate on production-grade ML applications.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

A game theoretic approach to explain the output of any machine learning model.

The fastai book, published as Jupyter Notebooks

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

A guidance language for controlling large language models.

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

💿 Free software that works great, and also happens to be open-source Python.

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

Companion webpage to the book "Mathematics For Machine Learning"

Kubernetes community content

The "Python Machine Learning (1st edition)" book code repository and info resource

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

Automatic extraction of relevant features from time series:

The "Python Machine Learning (2nd edition)" book code repository and info resource

Recipes for using Python's pandas library

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Create delightful software with Jupyter Notebooks

line drawing colorization using chainer

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…

A python tutorial on bayesian modeling techniques (PyMC3)

Algorithms for outlier, adversarial and drift detection

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

A data visualization curriculum of interactive notebooks.

IPython and Jupyter in-depth Tutorial, first presented at PyCon 2012