Events

See what AI teams can build

All Events
Ray Meetup-Ray Serve
Ray MeetupApril 13, 2022

Productionizing ML at scale with Ray Serve

6 PM PDT

Webinar-RL roundtable
WebinarApril 13, 2022

RL in production: A roundtable discussion with industry leaders

9 AM PDT

RL-Summit-Tutorial
RL SummitMarch 29, 2022

Tutorial: Reinforcement learning for recommender systems

1 PM PDT

RL-Summit-Siemens
RL SummitMarch 29, 2022

Reinforcement learning in the physical world

11:15 AM PDT

RL-Summit-Dow
RL SummitMarch 29, 2022

AlphaDow: Leveraging Ray’s ecosystem to train and deploy an RL industrial production scheduling agent

10:45 AM PDT

RL-Summit-JPMorgan
RL SummitMarch 29, 2022

Reinforcement learning-based simulation of markets

9:30 AM PDT

RL-Summit-Riot-Games
RL SummitMarch 29, 2022

Deep reinforcement learning at Riot Games

9 AM PDT

RL-Summit-Keynote
RL SummitMarch 29, 2022

Keynote: Offline reinforcement learning

9 AM PDT

Webinar-XGBoost
WebinarMarch 9, 2022

Simplify and scale your XGBoost model using Ray on Anyscale

9 AM PST

Ray Meetup-Ray Train
Ray MeetupMarch 2, 2022

Ray Train, PyTorch, TorchX, and distributed deep learning

6 PM PST

Webinar-Getting started with Anyscale
WebinarMarch 1, 2022

Getting started with Anyscale concepts, code, and clusters

8 AM PST

Ray Meetup-BAyPIGgies
Ray MeetupFebruary 24, 2022

Ray Meetup @ BAyPIGgies: Scaling AI workloads with the Ray Ecosystem

6 PM PST

Webinar-Ray Datasets
WebinarFebruary 23, 2022

Ray Datasets: Scalable data preprocessing for distributed ML

9 AM PST

Ray Meetup-Data+AI Denver
Ray MeetupFebruary 16, 2022

Ray Meetup @ Data + AI Denver Meetup: Ray, a framework for scaling and distributing Python & ML applications

4:30 PM PST

Ray Train
WebinarFebruary 9, 2022

Ray Train: Production-ready distributed deep learning

9 AM PST

Webinar-Intro to Ray Core
WebinarFebruary 3, 2022

Introduction to Ray Core and its Ecosystem

9 AM PST

Ray Meetup
Ray MeetupJanuary 19, 2022

Ray Meetup is Back in the New Year 2022

6 PM PST

Time series
WebinarJanuary 18, 2022

Faster time series forecasting at scale using Ray and Anyscale

9 AM PST