Pinned Repositories
amazon-mxnet-content-recsys
Content Based Recommendation System; partnership with Amazon MXNet team.
DeepLearningBook
MIT Deep Learning Book in PDF format
end-to-end-gpu-computing
Notebooks and scripts detailing various GPU computing libraries.
eyenet
Identifying diabetic retinopathy using convolutional neural networks
linear-regression-lesson
A lesson plan for teaching linear regression at DSST schools in Denver, Colorado.
nih-chest-xray
Identifying diseases in chest X-rays using convolutional neural networks
presentations
Collection of presentation slides from speaking engagements.
siamese_faces
Siamese neural network for facial recognition
ski-recommender
A recommender engine for ski runs as part of the Galvanize DSI capstone project
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
gregwchase's Repositories
gregwchase/eyenet
Identifying diabetic retinopathy using convolutional neural networks
gregwchase/nih-chest-xray
Identifying diseases in chest X-rays using convolutional neural networks
gregwchase/ski-recommender
A recommender engine for ski runs as part of the Galvanize DSI capstone project
gregwchase/amazon-mxnet-content-recsys
Content Based Recommendation System; partnership with Amazon MXNet team.
gregwchase/end-to-end-gpu-computing
Notebooks and scripts detailing various GPU computing libraries.
gregwchase/presentations
Collection of presentation slides from speaking engagements.
gregwchase/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
gregwchase/siamese_faces
Siamese neural network for facial recognition
gregwchase/linear-regression-lesson
A lesson plan for teaching linear regression at DSST schools in Denver, Colorado.
gregwchase/chaosmonkey
Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.
gregwchase/code
Code of Amazon Web Services in Action, 1st edition
gregwchase/content-engine
A very simple content-based recommendation engine. Great for learning, but also ready for real-world use.
gregwchase/deep-learning-coursera
Coursera solutions for Andrew Ng's deeplearning.ai course
gregwchase/gluon-api
A clear, concise, simple yet powerful and efficient API for deep learning.
gregwchase/gregwchase
gregwchase/h2o-3
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), ...)
gregwchase/h2o4gpu
H2Oai GPU Edition
gregwchase/imagededup
😎 Finding duplicate images made easy!
gregwchase/incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
gregwchase/kaggle-avazu
Avazu CTR Kaggle competition
gregwchase/kaggle-iceberg
Classifying icebergs using convolutional neural networks
gregwchase/mixpanel_api
gregwchase/nvidia-docker
Build and run Docker containers leveraging NVIDIA GPUs
gregwchase/openinference
Auto-Instrumentation for AI Observability
gregwchase/phoenix
AI Observability & Evaluation
gregwchase/pygdf
GPU Data Frame
gregwchase/python-twitter
A Python wrapper around the Twitter API.
gregwchase/recmetrics
A library of metrics for evaluating recommender systems
gregwchase/recommender_engines
WIP
gregwchase/spotlight
Deep recommender models using PyTorch.