Uber Announces Results for Fourth Quarter and Full Year 2019

Manifold: A model-agnostic visual debugging tool for machine learning (2019)

Controlling Text Generation with Plug and Play Language Models

We Built Uber Engineering’s Highest Query per Second Service Using Go

Uber Announces Results for Third Quarter 2019

Update on AB5

RideCheck: Connecting you with help when you need it

H3: Uber’s Hexagonal Hierarchical Spatial Index

Uber: Code-Free Deep Learning "Ludwig"

Uber: H3, a Open Source Geospatial Indexing System

Uber's use of QUIC to improve latency over cellular networks

Improving Accuracy of Maps Using Anonymized GPS Traces

Keeping Master Green at Scale – Uber Engineering 'SubmitQueue'

Engineering Uncertainty Estimation in Neural Networks

Uber Observability on halving M3 ingest latency by (briefly) forking Go compiler

Base Web, Uber’s New Design System for Building Websites in React

Open Sourcing Peloton, Uber’s Unified Resource Scheduler

Modeling Censored Time-to-Event Data Using Pyro, an Open Source Probabilistic Programming Language

Kraken, an Open Source Peer-to-Peer Docker Registry

Ludwig, a Code-Free Deep Learning Toolbox

Expanding Access: Engineering Uber Lite

AresDB: Uber’s GPU-Powered Open Source, Real-Time Analytics Engine

Michelangelo PyML: Introducing Uber’s Platform for Rapid Python ML Model

Scaling Machine Learning at Uber with Michelangelo

Introducing Eats for Business

Montezuma’s Revenge Solved by Go-Explore

Uber’s Big Data Platform: 100+ Petabytes with Minute Latency

Peloton: Uber’s Unified Resource Scheduler for Diverse Cluster Workloads

Genetic algorithms for training deep neural networks

Forecasting at Uber: An Introduction

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