Python tutorials in both Jupyter Notebook and youtube format.

Repository to store sample python programs for python learning

Notes from the PyTorch Udacity / Facebook scholarship course

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

The 3rd edition of course.fast.ai - coming in 2019

Plotly's Documentation

Machine learning cheatsheet

Repo for notebook on tensorflow

Dataset of diseased plant leaf images and corresponding labels

Tutorials for Fall 2018

TensorFlow Tutorial and Examples for Beginners with Latest APIs

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

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

Topic Modelling for Humans

UBC CPSC 340: Machine Learning and Data Mining (2016W2)

Series on Tensorflow starting from the basics and working our way up to more complex models

Essential Cheat Sheets for deep learning and machine learning researchers

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

Anatomy of Matplotlib -- tutorial developed for the SciPy conference

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

scientific papers that I've read

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

填坑ing...

Lectures on scientific computing with python, as IPython notebooks.

my submissions for Siraj Raval's weekly challenges from The Math of Intelligence course.