Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

Open source on demand courses and cheat sheets for Git and GitHub

Deliberate Practice for Learning Deep Learning

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

A library for transfer learning by reusing parts of TensorFlow models.

The fast.ai deep learning library, lessons, and tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Udemy Course to build, compose, deploy, and manage containers from local development to high-availability in the cloud

Simple Python client for interacting with Google BigQuery.

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Pytho…

Google Cloud Client Library for Python

Part of my daily plan for studying Python.

Python implementation of common algorithms and data structures interview questions

Source Code for the book Building Machine Learning Systems with Python

An items, stores, and authentication REST API from the REST API course

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

A complete daily plan for studying to become a machine learning engineer.

Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE

The "Python Machine Learning" book code repository and info resource

Part of my daily plan for studying C++.