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Data Science at your Den Table: Who’d Have Thought?

March 25, 2020

The Battle at Speed & Accuracy: Single-Shot vs Two-Shot Detection

The Battle of Speed vs. Accuracy: Single-Shot vs Two-Shot Detection Meta-Architecture

March 8, 2020

Best Practices Deep Learning Codebase with PyTorch Series Part I

Once Upon a Repository: How to Write Readable, Maintainable Code with PyTorch-Ignite

January 30, 2020

Boost Your Machine & Deep Learning DevOps with Allegro Trains & Trains Agent

Boost Your Machine & Deep Learning DevOps with Allegro Trains & Trains Agent

January 8, 2020

Allegro Trains Agent Provides Effortless Cluster Management for Machine and Deep Learning Experiments

Announcing Allegro Trains Agent, Providing Effortless Cluster Management for Machine & Deep Learning Experiments

January 7, 2020

Too Much Annotated Data in the Kitchen

Quantifying Diminishing Returns of Annotated Data

September 23, 2019

[Video] Netapp and allegro.ai Presentation During the Annual Nvidia GTC Conference

September 19, 2019

Introducing a New Model and Project Management Tool for Machine and Deep Learning

September 10, 2019

Allegro CTO Scheduled Presentation During the Next Open Data Science Conference in San Francisco

August 22, 2019

Gartner Includes allegro.ai on its Report on the Computer Vision Gold Rush

August 19, 2019

Allegro and The Bridge Builders Program With Coca-Cola , Turner Media Group and Mercedez-Benz

August 1, 2019

[VIDEO] Optimizing SSD Object Detection for Low-power Devices

July 29, 2019

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Allegro AI offers the first true end-to-end ML / DL product life-cycle management solution with a focus on deep learning applied to unstructured data. At our base is the Allegro Trains open source experiment manager and ML-Ops package.

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