Greg Chase's Projects
Content Based Recommendation System; partnership with Amazon MXNet team.
Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.
Python dictionary with US cities as keys and corresponding states as values
Code of Amazon Web Services in Action, 1st edition
A very simple content-based recommendation engine. Great for learning, but also ready for real-world use.
Robot positioning system based on convolutional networks.
NumPy-like API accelerated with CUDA
Data Scientist Toolbox Repository
Coursera solutions for Andrew Ng's deeplearning.ai course
MIT Deep Learning Book in PDF format
Deep Learning in H2O using Native GPU Backends
Predicting depression from acoustic features of speech using a Convolutional Neural Network.
Notebooks and scripts detailing various GPU computing libraries.
Identifying diabetic retinopathy using convolutional neural networks
A MNIST-like fashion product database. Benchmark :point_right:
gitTest project using Atom. Version control demo.
A clear, concise, simple yet powerful and efficient API for deep learning.
Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)
Tutorials and training material for the H2O Machine Learning Platform
H2Oai GPU Edition
😎 Finding duplicate images made easy!
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Avazu CTR Kaggle competition
Classifying icebergs using convolutional neural networks
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on MXNet, Theano or TensorFlow.
A lesson plan for teaching linear regression at DSST schools in Denver, Colorado.
Identifying diseases in chest X-rays using convolutional neural networks