• 2
• 0
• 0

ray-agents

Experimental library on agentic workflows on Ray

• 2
• 0
• 0

scipy

SciPy library main repository

• 3
• 0
• 0

ray-runtime-env-plugins

A set of runtime environment plugins which can be used by the public.

• 3
• 0
• 0

serve_config_examples

• 2
• 0
• 0

lightgbm_ray

LightGBM on Ray

• 2
• 0
• 0

ray_lightning

Pytorch Lightning Distributed Accelerators using Ray

• 2
• 0
• 0

flatbuffers

Memory Efficient Serialization Library

• 3
• 0
• 0

ray-educational-materials

This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.

• 3
• 0
• 0

buildkite-ci-pipelines

• 3
• 0
• 0

mlperf-training

Reference implementations of MLPerf™ training benchmarks

• 3
• 0
• 0

test_deploy_group

• 3
• 0
• 0

prototype_gpu_buffer

• 3
• 0
• 0

contrib-workflow-dag

• 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...

• 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

mlflow-ray-serve

MLFlow Deployment Plugin for Ray Serve

• 2
• 0
• 0

maze-raylit

Hackathon 2020! Max Archit Zhe

• 2
• 0
• 0

releaser

• 2
• 0
• 0

spark-ray-example

A simple demonstration of embedding Ray in a Spark UDF. For Spark + AI Summit 2020.