Tensors and Dynamic neural networks in Python with strong GPU acceleration

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

The open source developer platform to build AI/LLM applications and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integra…

Parallel computing with task scheduling

Ready-to-run Docker images containing Jupyter applications

An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

A system-level, binary package and environment manager running on all major operating systems and platforms.

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

DC/OS - The Datacenter Operating System

A distributed task scheduler for Dask

Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.

Jupyter notebook server extension to proxy web services.

Peer-to-peer protocol for voice assistants

OpenAI-Compatible Proxy Middleware for the Wyoming Protocol

yogadl, the flexible data layer

Jenkins on DC/OS

This repository contains example integrations between Determined and other ML products

DC/OS test harness

Turn-key deployments of DC/OS on AWS (template and onprem), Azure, and GCE

Marathon and Mesos-native health checks testing rig