The fastai deep learning library

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

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

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

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…

Repo for the Deep Learning Nanodegree Foundations program.

Content for Udacity's Machine Learning curriculum

An open-source audio wake word (or phrase) detection framework with a focus on performance and simplicity.

1st place solution

Demonstrations of Magenta Models

Learn Julia via interactive tutorials!

DeepRacer workshop content. This Guidance demonstrates how software developers can use an Amazon SageMaker Notebook instance to directly train and evaluate AWS DeepRacer models with full control

Notebooks and examples on how to onboard and use various features of Amazon Personalize

Learning to trade under the reinforcement learning framework

Machine Learning Ops Workshop with SageMaker: lab guides and materials.

Material for my Predictive Maintenance class