This is your work, valued

Alexander Amini

Elite
@aamini
www.mit.edu/~amini

evidential-deep-learning. Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

526

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

135

FastConv.jl. Fast Convolutions in Julia

46

TimeToContact.jl. Time to Contact implementation in Julia

6

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

6

aamini.github.io. CSS

4

deep-learning-iap-web-new. CSS

3

getJacd. HTML

3

vista-web.github.io. HTML

3

Mocha.jl. Deep Learning framework for Julia

2

markdown-styles. Markdown to static HTML generator and multiple CSS themes for Markdown

1

mapmatching. An arcpy based HMM map matching tool

1

6.858-mit-lab1. Python

1

readthedocs.org. The source code that powers readthedocs.org

1