Reference models and tools for Cloud TPUs.

This project include several different surfaces, each surface contains one or several defects. For segmentation,object detection, saliency detection，etc

A short tutorial on performing fine tuning or transfer learning in PyTorch.

The most cited deep learning papers

Python programs to practice or demonstrate skills.

Mastering TensorFlow 1x, published by Packt

The Open Source Data Science Masters

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 ;)

100 numpy exercises (100% complete)

Python module to perform under sampling and over sampling with various techniques.

A complete daily plan for studying to become a Google software engineer.

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

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

Starter project code for students taking Udacity ud120

Notebooks and code for the book "Introduction to Machine Learning with Python"

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

My best submission to the Kaggle competition "Predicting a Biological Response", ranked 17th over 711 teams.

Programming Collective Intelligence Code

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

Recipes for using Python's pandas library

Materials for my Pycon 2015 scikit-learn tutorial.

Examples from Programming Collective Intelligence

PyCon 2015 Pandas tutorial materials

Algorithms from the book "Elements of Statistical Learning", implemented in Python