academy

Ray tutorials from Anyscale

airflow-provider-ray

Ray provider for Apache Airflow

architectures

Architectural Patterns for Ray and Anyscale Enablement.

blog

Public repository for Anyscale blog

buildkit

concurrent, cache-efficient, and Dockerfile-agnostic builder toolkit

cortex

A horizontally scalable, highly available, multi-tenant, long term Prometheus.

cri

Moved to https://github.com/containerd/containerd/tree/master/pkg/cri . If you wish to submit issues/PRs, please submit to https://github.com/containerd/containerd

cuj-batch-inference

customer-scripts

dashboard-d3

Proof-of-concept for d3.js for the new Ray dashboard design

dashboard-discourse-posts-to-airtable

datasets-database

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.

docs_examples

e2e-nlp-template

An end-to-end NLP project template for anyscale product

endpoint-cookbook

Examples for Anyscale Endpoint

example-llmserving-aviary

Example Starting Code for LLM Serving with Aviary

factuality-eval

Library for iPython notebooks for evaluating factuality.

getting-started-webinar

Webinar code for getting started with Anyscale

gh-issues-to-airtable

github-action-markdown-link-check

Check all links in markdown files if they are alive or dead. 🔗✔️

hackathon_telemetry_gpt

hermetic

Hermetic is a library for developing, deploying and refining LLM Applications

internal-terraform-aws-anyscale-cloudfoundation-modules

This is based on https://github.com/anyscale/terraform-aws-anyscale-cloudfoundation-modules, with more variables. Basically for internal integration tests.

intro-ray-debugging

An intro on how to debug code execution in ray

intro-to-ray-core

An intro to ray core

job-services-cuj-examples

learn

Self-paced Ray and Anyscale Education.

llm-continuous-batching-benchmarks

llm-menagerie

lm-evaluation-harness

A framework for few-shot evaluation of autoregressive language models.