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 ;)

The fastai deep learning library

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

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

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Kolmogorov Arnold Networks

Natural Language Processing Tutorial for Deep Learning Researchers

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…

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

Flax is a neural network library for JAX that is designed for flexibility.

Portfolio and risk analytics in Python

Notebooks for learning deep learning

"Probabilistic Machine Learning" - a book series by Kevin Murphy

A collection of examples that show how to use CrewAI framework to automate workflows.

Probabilistic reasoning and statistical analysis in TensorFlow

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

Jupyter notebooks from the scikit-learn video series

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

Bayesian optimization in PyTorch

[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

A python tutorial on bayesian modeling techniques (PyMC3)

Algorithms for outlier, adversarial and drift detection