Cutting edge hyperparameter tuning with Ray Tune

Introducing Ray Tune, the state-of-the-art…

The State of the Serverless Art

The Hydro team in Berkeley’s RISELab is working to “put the state into…

Feature Stores: The Data Side of ML Pipelines

We need a principled way of managing state in real-time ML pipelines.

Functional RL with Keras and Tensorflow Eager

We explore a functional paradigm for implementing…

RayOnSpark: Running Emerging AI Applications on Big Data Clusters with Ray and Analytics Zoo

Two missing links in Serverless Computing: Stateful Computation and Placement Control

Scalable AutoML for Time Series Prediction Using Ray and Analytics Zoo

Shengsheng Huang…

Why every data scientist using pandas needs Modin — Bringing SQL to Dataframes

While recently speaking…