Uber

A big problem in space research is whether the same stars or galaxies are seen in different sky surveys. Telescopes today gather a ton of data about thousands or even billions of objects using various types...
Providing a virtual environment that matches the actual world, the recent widespread rise of 3D applications, including metaverse, VR/AR, video games, and physical simulators, has improved human lifestyle and increased productive efficiency. These programs are based...

Uber Releases V1.1 of Orbit: A Python Package to Perform Bayesian Time-Series Analysis and Forecasting

Last year, the Uber team introduced Orbit, a Bayesian time series modeling user interface which is simple to use, adaptable, interoperable, and high-performing (fast...

Uber Research Introduces ‘CRISP’: A Tool To Extract Critical Paths From Numerous Jaeger Traces

Microservices architecture consists of a collection of small, self-contained services. Each service should implement a particular business capability and be self-contained within a bounded...

Researchers At Uber AI And Open AI Introduce Go-Explore: Cracking The Challenging Atari Games With Artificial Intelligence

Learning from rewards is an unsaid practice among all. The above is also the guiding insight behind a family of algorithms that used deep...

Researchers From Uber And CMU Develop An AI Language Model That Focuses On Polite And Positive Responses

AI-driven assistants are gaining significant traction in the modern world. AI assistants, like Alexa and Siri, need to exhibit apt social behavior to engage users...

Uber Engineering Releases Horovod v0.21: New Features Include Local Gradient Aggregation For TensorFlow v1 and v2

Horovod announces its v0.21 and brings many powerful new features to the Horovod community, making training deep learning models faster and easier than ever...

Uber Open-Sources Ludwig v0.3: The Third Update To Its Code-Free Deep Learning Toolbox Built On Top Of TensorFlow

Uber Technologies uses machine learning models to perform a diversity of tasks, from improving our maps to streamlining chat communications and even preventing fraud....

Neuropod: Uber ATG’s Open Source Deep Learning Inference Engine

Uber Advanced Technologies Group (ATG) recently open-sourced Neuropod, a framework that provides a uniform interface to run deep learning models from multiple frameworks in...

Horovod: Uber’s Open Source Distributed Deep Learning Framework

'Horovod' is an open-source distributed deep learning framework created by Uber's AI team. This framework is used for applications in TensorFlow, Keras, PyTorch, and...

Uber Open-Sources ‘Fiber’, A Python Distributed Computing Library For Modern Computer Clusters

Uber Introduces Fiber, a Python-based distributed computing library for modern computer clusters. Now you can code/program your computer cluster instead of programming your desktop...

This Python Package ‘Causal ML’ Provides a Suite of Uplift Modeling and Causal Inference with Machine Learning

'Causal ML' is a Python package that deals with uplift modeling, which estimates heterogeneous treatment effect (HTE) and causal inference methods with the help...

Uber Open-Sourced ‘Manifold’: A Visual Debugging Tool for Machine Learning

Uber recently open-sourced its model-agnostic visual debugging tool 'Manifold' for machine learning models. The objective of this tool is to help data...

Uber’s Plug and Play Language Model (PPLM) Allows Steering Topic and Attributes of GPT-2 Models

It's impressive that Generative models like Open AI's GPT-2 automatically create texts using limited input. But controlling the attributes (topics, context, sentiment) of these...

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