Beast code in Giters

Alexander Amini's repositories

Lab Materials for MIT 6.S191: Introduction to Deep Learning

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Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

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Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.

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Fast Convolutions in Julia

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Time to Contact implementation in Julia

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From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..

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Deep Learning framework for Julia

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An arcpy based HMM map matching tool

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Markdown to static HTML generator and multiple CSS themes for Markdown

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The source code that powers readthedocs.org

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