Introduction to Allegro Trains
Allegro Trains is an open source ML / DL experiment manager, versioning and ML-Ops full system solution.
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.
WTF is a Convolutional Neural Network?
If you are a software engineer, there's a good chance that deep learning will inevitably become part of your job in the future. Even if you're not building the models that directly use CNNs, you might have to collaborate with data scientists or help business partners better understand what is going on under the hood. In this article, Julie Kent dives into the world of convolutional neural networks and explains it all in a not-so-scary way.
The Future of Testing is Intelligent - Diego Lo Giudice, Forrester Research
Slowly but surely, artificial intelligence (AI) and machine learning (ML) are becoming an active part of our daily lives, shaping, for better or worse, the technologies and applications we use each and every day. We already know that AI and ML capabilities are helping make testing solutions – and the testers that use them – more effective and efficient than ever before.
Implementing distributed model training for deep learning with Cloudera Machine Learning
Many enterprise data science teams are using Cloudera’s machine learning platform for model exploration and training, including the creation of deep learning models using Tensorflow, PyTorch, and more. However, training a deep learning model is often a time-consuming process, thus GPU and distributed model training approaches are employed to accelerate the training speed.
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.
Machine learning in production: Human error is inevitable, here's how to prepare.
You did it. You have machine learning capabilities up and running in your organization. Success! What started as a few nascent experiments (and maybe a few failures) are now carefully constructed models racing along in full production—with the ability to scale into the hundreds or thousands of productional models in sight. Assembling your expert team of data scientists and custodians seems like a distant memory. Now you’re looking ahead to the future—growth, innovation, revenue!