Join our hands-on workshop series and deep dive into machine learning and deep learning with cnvrg.io ML experts. Each session cnvrg.io will guide you through a hands on ML project using cnvrg.io CORE – a free ML platform we released for the data science community – and tools and frameworks like TensorFlow, Spark on Kubernetes, GitHub and more to help you build and deploy high impact machine learning models.

The 1st Live Workshop will take place May 19th @12pm EST (9am PST) where we will show you how to train ML models directly from GitHub.

Join our hands-on workshop series and deep dive into machine learning and deep learning with cnvrg.io ML experts. Each session cnvrg.io will guide you through a hands on ML project using cnvrg.io CORE – a free ML platform we released for the data science community – and tools and frameworks like TensorFlow, Spark on Kubernetes, GitHub and more to help you build and deploy high impact machine learning models.

The 1st Live Workshop will take place May 19th @12pm EST (9am PST) where we will show you how to train ML models directly from GitHub.

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Announcing CORE, a free ML Platform for the community to help data scientists focus more on data science and less on technical complexity

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With cnvrg.io we were able to increase our model throughput by up to 50% and on average by 30% when comparing to RESTful APIs. cnvrg.io also allows us to monitor our models in production, set alerts and retrain with high-level automation ML pipelines
Avi Gabay
Avi GabayDirector of Architecture at Playtika
As with many data science professionals, our team is hard to please. They want the flexibility to use any language, and the ability to write their own custom packages to improve performance, set configurations, etc. With cnvrg.io, this is the first time I’ve heard our data scientists and analysts say ‘when can we have it’.
Alexander Ryabov
Alexander RyabovHead of Data Services & Business Intelligence at Wargaming.net
Working in a hybrid cloud environment has major advantages but can be increasingly complex to manage, especially for AI workloads. cnvrg.io has the potential to enable us to operate in a hybrid cloud environment seamlessly. The new ML infrastructure dashboard could fill a major need in connecting our infrastructure to ML projects. It provides visibility into our on-prem GPU clusters and cloud resources, paving the way for increasing the utilization and ROI of our GPUs.
Bruce King
Bruce KingData Science Technologist at Seagate Technology Advanced Analytics Group
Lightricks is a research-driven company, which is why we’ve built a team with some of the top computer vision researchers in the country. cnvrg.io ensures our highly qualified researchers are focused on building the industry-leading AI technology that we are now world renown for, instead of spending time on engineering, configuration and DevOps.
Ofir Bibi
Ofir BibiHead of Research at Lightricks
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