12 open source projects by ritchieng

A Deep Learning Amazon Web Service (AWS) AMI that is open, free and works. Run in less than 5 minutes. TensorFlow, Keras, PyTorch, Theano, MXNet, CNTK, Caffe and all dependencies.

Codes, notes and guides on Udacity's machine learning nanodegree.

PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.

My personal repository of notes served through Github pages at http://www.ritchieng.com/

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Rapid large-scale fractional differencing with RAPIDS to minimize memory loss while making a time series stationary. 6x-400x speed up over CPU implementation.

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

Wide Residual Networks implemented in TensorLayer and TensorFlow.

This contains all the practices for the lectures, custom answers to the assignments and additional inline notes for "Python for Everybody Specialization" on Coursera by the University of Michigan.

Detailed notes and codes on learning pandas quickly for machine learning.

Multi-digit prediction from Google Street's images using deep CNN with TensorFlow, OpenCV and Python.

Detailed notes and code to learn the basics of machine learning with scikit-learn.