Artificial Intelligence
Building intelligent machines that complement human reasoning and extend what people can do.
Projet
DoWhy: Causal Reasoning for Designing and Evaluating Interventions
Today’s computing systems can be thought of as interventions in people’s work and daily lives. But what are the outcomes of these interventions, and how can we tune these systems for desired outcomes? In this…
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Human pose estimation
The project is an official implementation of our CVPR2019 paper “Deep High-Resolution Representation Learning for Human Pose Estimation”
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MSParS
MSParS is a large-scale dataset for the open domain semantic parsing task. The whole dataset consists of 81,826 samples annotated by native English speakers. We randomly shuffle these samples and use 80% of them (63,826)…
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ELL Models Repository
The ELL models repository contains a number of pretrained models suited for different device footprints. Currently, there are pretrained models for image classification and audio keyword spotting.