Access even more references from these marketplace competitors
"If we would have to integrate using traditional scraping techniques, a marketplace of 1000 sites would require 10 people in software development. Instead, we have a three person technical team, several machine learning models and Valohai orchestrating the infrastructure side."
"Building a barebones infrastructure layer for our use case would have taken months, and that would just have been the beginning. The challenge is that with a self-managed platform, you need to build and maintain every new feature, while with Valohai, they come included."
Comet is a meta machine learning platform designed to help data scientists and machine learning engineers to track, manage, visualize, and optimize ML models—from training runs to production monitoring. With just 2 line of code Comet integrates seamlessly with your existing ML infrastructure and tools so you do not have to start from scratch. Comet is trusted by some of the most innovative ML teams including Etsy, Uber, Shopify, Zappos, Ancestry, Assembly AI, Google AI, Shipt and many more. Learn more @ https://www.comet.com/site/ Try the collab notebook : https://colab.research.google.com/drive/1jj9BgsFApkqnpPMLCHSDH-5MoL_bjvYq?usp=sharing
Intel Tiber AI Studio is an AI OS, transforming the way enterprises manage, scale and accelerate AI and data science development from research to production. The code-first platform is built by data scientists, for data scientists and offers unrivaled flexibility to run on-premise or cloud. From advanced MLOps to continual learning, cnvrg.io brings top of the line technology to data science teams so they can spend less time on DevOps and focus on the real magic - algorithms. Since using cnvrg.io, teams across industries have gotten more models to production resulting in increased business value.
Neptune.ai is an experiment tracking hub bringing organization and collaboration to data science projects. Neptune records your entire experimentation process - exploratory notebooks, model training runs, code, hyperparameters, metrics, data versions, results, exploration visualizations, and more. Everything is stored and backed-up in an organized knowledge repository, ready to be accessed, analyzed, shared, and discussed with your team. No matter what type of problems you are working on, Neptune fits them all, from evaluating credit risk to finding the nuclei in divergent images.
FeaturedCustomers has 1,812,233+ validated customer references
including reviews, case studies, success stories, customer stories,
testimonials and customer videos that will help you make better
software purchasing decisions.