Allegro Trains v 0.15 Release
We’re excited to introduce v 0.15 of Allegro Trains. With this version we’ve taken Trains one step further to provide even more powerful features for the community to manage their AI workloads.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
Setting up Allegro AI's Trains Platform
There’s a lot to track when training your ML models, and there’s no way around it; reviews and comparisons for best performance are virtually impossible without logging each experiment in detail. Yes, building models and experimenting with them is exciting work, but let’s agree that all that documentation can be laborious and error-prone – especially when you are essentially doing data entry grunt work, manually, using Excel spreadsheets.
Allegro AI Becomes NVIDIA DGX-Ready Software Program Partner
May 14, 2020 — Allegro AI today announced that it joined the NVIDIA DGX-Ready Software program. Organizations that want to leverage AI to improve products and services often struggle to implement an advanced infrastructure that supports the unique and challenging demands of machine learning and deep learning.
ML-Ops best practices with Allegro Trains
Trains MLOps best practices Allegro Trains is an open source machine and deep learning (ML / DL) experiment manager, versioning and ML-Ops full system solution for data science and data engineering teams and projects.
Allegro Trains trains-server deployment tutorial
"Trains Server deployment tutorial on Linux Allegro Trains is an open source machine and deep learning (ML / DL) experiment manager, versioning and ML-Ops full system solution for data science and data engineering teams and projects.
Experiment comparison with Allegro Trains
An Overview of Allegro Trains experiment comparison Allegro Trains is an open source machine and deep learning (ML / DL) experiment manager, versioning and ML-Ops full system solution for data science and data engineering teams and projects.
Why Data Management for Deep Learning Computer Vision is Challenging
One of the most important aspects of deep learning is the quality and quantity of the data used in the learning process. In this video Moses Guttmann, the CTO and co-founder of Allegro AI, explores the challenges and offers approaches to solve it.
3 Minutes on Breaking AI Barriers by Nir Bar-Lev, CEO & Co-founder, Allegro AI
Short overview of the high level problem descriptions that Allegro AI addresses and how it helps its customers solve these challenges. Presentation is from the IBM AlphaZone summary conference. January 2020
How Allegro AI Helps Customers with Computer Vision, Leveraging Deep Learning
Nir Bar-lev, CEO & Co-founder of Allegro AI introduces how Allegro AI helps its customers with computer vision, leveraging deep learning. A presentation from The Bridge VI Showcase in Atlanta, Sept 2019.
Federating ML & DL Data Pipelines - Architecture Considerations: Allegro AI and NetApp Partner Chat
Allegro AI and NetApp Partner Chat with Nir Bar-lev, Founder and CEO of Allegro AI. Topic: Architecture Considerations for Federating ML & DL Data Pipelines Presenting at Nvidia GTC 2019 Conference