Events

Event Type
RL-Summit-RiotGames

RL Summit

Deep reinforcement learning at Riot Games

Ben Kasper from Riot Games talks about using RL to help game designers improve game balance.

03 . 29 . 2022   |   04:00 PM (UTC)Watch replay
RL-Summit-Opening Keynote

RL Summit

Keynote - Offline reinforcement learning

Opening Keynote on Offline RL by Sergey Levine. ---

03 . 29 . 2022   |   04:00 PM (UTC)Watch replay
ray serve

Webinar

Introduction to Ray Serve

Ray Serve is Ray’s model serving library. Traditionally, model serving requires configuring a web server or a cloud-host...

03 . 23 . 2022   |   04:00 PM (UTC)Watch video
XGBoost

Webinar

Simplify and scale your XGBoost model using Ray on Anyscale

In this webinar, we will cover how Ray, a universal distributed computing framework running on Anyscale, simplifies the...

03 . 09 . 2022   |   05:00 PM (UTC)Register
ray

Ray Meetup

Ray Train, PyTorch, TorchX, and distributed deep learning

Welcome to our second Ray meetup, where we focus on Ray’s native libraries for scaling machine learning workloads. We'...

03 . 03 . 2022   |   02:00 AM (UTC)Watch video
Anyscale logo

Webinar

Getting started with Anyscale concepts, code, and clusters

In this webinar, the Anyscale solutions team will guide you through the steps of taking your Python workloads to the clo...

03 . 01 . 2022   |   04:00 PM (UTC)Watch video
ray

Ray Meetup

[Ray Meetup @ BAyPIGgies] Scaling AI Workloads with the Ray Ecosystem

Today, AI applications are becoming pervasive across all sectors of our industry. Driven by a few fundamental trends, th...

02 . 25 . 2022   |   02:00 AM (UTC)Watch video
Ray Datasets

Webinar

Ray Datasets: Scalable data preprocessing for distributed ML

Ray Datasets is a Ray-native distributed dataset library that serves as the standard way to load, process, and exchange...

02 . 23 . 2022   |   05:00 PM (UTC)Watch video
ray

Ray Meetup

[Ray Meetup @ Data + AI Denver Meetup] Ray: A framework for scaling and Distributing Python & ML Applications

Modern machine learning (ML) workloads, such as deep learning and large-scale model training, are compute-intensive and...

02 . 17 . 2022   |   12:30 AM (UTC)Register
Ray Train

Webinar

Ray Train: Production-ready distributed deep learning

Today, most frameworks for deep learning prototyping, training, and distributing to a cluster are either powerful and in...

02 . 09 . 2022   |   05:00 PM (UTC)Watch video