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Exploring strategies to intelligently and efficiently train deep learning models on distributed datasets in parallel, merge/ensemble the results, and perform prediction on a test set. Inspired by m…
Forked from callaunchpad/DangerSense
Launchpad Fall 2018 Project: Detecting and responding to dangerous driving scenarios using deep CNN object detection/tracking, LSTM path prediction, & deep reinforcement learning; served as project…
Forked from apache/madlib
Summer Internship 2018: Created ML/deep learning algorithms for large distributed datasets, along with associated utility functions, to enable parallel model training atop Pivotal's Greenplum database
Placing the latest news on an interactive map, to visualize current events. Developed 2015-16 in collab. w/ the BCP App Dev Club & Geography for Tomorrow. Fully responsive PHP web-mobile app, iOS app
Abstractive text summarization using pointer-generated networks and coverage along with a baseline bi-directional RNN encoder/decoder model
Forked from fidler-lab/polyrnn-pp
Inference Code for Polygon-RNN++ (CVPR 2018)
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