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edwardjkim's Projects

amazon-sagemaker-examples icon amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

astroclass icon astroclass

A Hybrid Ensemble Learning Approach to Star-galaxy Classification

dl4astro icon dl4astro

Star-galaxy Classification Using Deep Convolutional Neural Networks

enhance icon enhance

Insight AI project: Real-time video super-resolution

image-cutout icon image-cutout

Python library for generating image cutouts of photometric images

info490 icon info490

INFO 490: Intro to Data Science, offered in the Spring 2015 Semester at the University of Illinois

info490-fa15 icon info490-fa15

INFO 490: Foundations of Data Science, offered in the Fall 2015 Semester at the University of Illinois

info490-sp16 icon info490-sp16

INFO 490: Advanced Data Science, offered in the Spring 2016 Semester at the University of Illinois

jupyterhub-info490 icon jupyterhub-info490

Jupyterhub playbook for the Advaned Data Science class at the University of Illinois

ml-io icon ml-io

A high performance data access library for machine learning tasks

nbgrader icon nbgrader

A system for assigning and grading notebooks

pymc3 icon pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

sagemaker-scikit-learn-container icon sagemaker-scikit-learn-container

Support code for building and running Amazon SageMaker compatible Docker containers based on the open source framework Scikit-learn (http://scikit-learn.org/stable/)

sagemaker-xgboost-container icon sagemaker-xgboost-container

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

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