TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Google Research

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.

The fastai deep learning library

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

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

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

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Natural Language Processing Tutorial for Deep Learning Researchers

Free MLOps course from DataTalks.Club

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

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Visualizations for machine learning datasets

NYU Deep Learning Spring 2020

An annotated implementation of the Transformer paper.

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

The Udacity open source self-driving car project

Data Science Using Python

Book about interpretable machine learning

A better notebook for Scala (and more)

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

Content for Udacity's Machine Learning curriculum

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

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

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

The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.