• 2
• 0
• 0

ray-agents

Experimental library on agentic workflows on Ray

• 2
• 0
• 0

multimodal-training

• 2
• 0
• 0

redis-ms

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists,...

• 3
• 0
• 0

rules_docker

Rules for building and handling Docker images with Bazel

• 2
• 0
• 0

lightgbm_ray

LightGBM on Ray

• 2
• 0
• 0

ray_lightning

Pytorch Lightning Distributed Accelerators using Ray

• 2
• 0
• 0

arrow-plasma-object-store

Plasma Object Store code for proposed import to Apache Arrow

• 2
• 0
• 0

webdis

A Redis HTTP interface with JSON output

• 3
• 0
• 0

buildkite-ci-pipelines

• 3
• 0
• 0

deltacat

A portable Pythonic Data Lakehouse powered by Ray that brings exabyte-level scalability and fast, ACID-compliant, change-data-capture to your ML an...

• 3
• 0
• 0

mlperf-training

Reference implementations of MLPerf™ training benchmarks

• 3
• 0
• 0

prototype_gpu_buffer

• 2
• 0
• 0

ray_shuffling_data_loader

A Ray-based data loader with per-epoch shuffling and configurable pipelining, for shuffling and loading training data for distributed training of m...

• 2
• 0
• 0

distml

Distributed ML Optimizer

• 2
• 0
• 0

dind-buildkite-plugin

A Buildkite Plugin to enable Docker-in-Docker

• 2
• 0
• 0

releaser

• 2
• 0
• 1

xgboost_ray

Distributed XGBoost on Ray

• 2
• 0
• 0

ray-legacy

An experimental distributed execution engine

• 2
• 0
• 0

checkstyle_java

• 2
• 0
• 0

ray-scripts

Experimental scripts for deploying and using Ray