deep learning

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

A Hero’s Journey to Deep Learning CodeBase Series – Part IIA By Gal Hyams and Dan Malowany Deep neural networks for object detection tasks is a mature research field. That said, making the correct tradeoff between speed and accuracy when building a given model for a target use-case is an ongoing decision that teams need …

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Best Practices Deep Learning Codebase with PyTorch Series Part I

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

A Hero’s Journey to Deep Learning Codebase Series – Part I By Dan Malowany and Gal Hyams @ Allegro AI We all aim to write a maintainable and modular codebase that supports the R&D process from research to production. Key to an efficient and successful deep learning project, this is not an easy feat. That …

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

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

There is an inherent conflict in machine learning and deep learning workflows when moving from developing code to running it. Researchers usually need to turn to DevOps to execute their experiments as managing machines/data/setups require a different skill set, and often lie within the DevOps division’s responsibilities. However, even with the correct skills or purview, …

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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

Huzzah! We officially welcome Allegro Trains Agent, to the Allegro Trains ecosystem, the zero-configuration, fire-and-forget execution agent, bridging the gap between data scientists and DevOps. This complementary solution joins our open-source solution suite with Allegro Trains, the automagical open-source AI experiment & version control manager, and Allegro Trains Server, the backend service infrastructure. Allegro AI …

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

Moses Guttmann, CTO and co-founder of allegro.ai, will be a featured speaker during the Open Data Science Conference in San Francisco.On his talk, Gutmann will discuss integrated data as part of hyper-parameter optimization. Neural networks dominate the modern machine learning landscape, but their training and performance still suffer from sensitivity to the empirical choice of training …

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Showcasing allegro.ai’s deep learning perception platform at the Intel partner booth during the Embedded Vision Summit

We are set to showcase our latest product offering, hosted at the Intel partner booth (booth #307), during the Embedded Vision Summit which will take place in Santa Clara, California on May 20-May 23, 2019. In addition to the showcase at the Intel partner booth, Moses Guttmann, Chief Technology Officer and co-founder of allegro.ai, will be a …

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What I Wish Everyone Knew About Data Management in Deep Learning Computer Vision

In contrast with a traditional software product, it is “data” rather than “code” that is of primary importance in a deep learning system. A neural network for computer vision will only perform well in the field if it is thoroughly trained with a dataset that effectively mimics the environment it will see in production. While …

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