Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
-
Updated
May 12, 2024 - Python
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A toolkit to run Ray applications on Kubernetes
A next-generation dynamic and high-performance language for AI and IOT with natural born distributed computing ability.
Write local debuggable Python which traverses your powerful remote infra. Deploy as-is. Unobtrusive, unopinionated, PyTorch-like APIs.
Malicious URLs identified by scanning various public URL sources using the Google Safe Browsing API (over 6 billion URLs scanned daily)
Python 数据科学加速:Dask、Ray、Xorbits、mpi4py
DoEKS is a tool to build, deploy and scale Data & ML Platforms on Amazon EKS
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
NanoRT, single header only modern ray tracing kernel.
TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.
An Alternative for Triton Inference Server. Boosting DL Service Throughput 1.5-4x by Ensemble Pipeline Serving with Concurrent CUDA Streams for PyTorch/LibTorch Frontend and TensorRT/CVCUDA, etc., Backends
llm-inference is a platform for publishing and managing llm inference, providing a wide range of out-of-the-box features for model deployment, such as UI, RESTful API, auto-scaling, computing resource management, monitoring, and more.
Additional stoppers for ray tune
A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!
Testing ray tune with slurm batch submission and optuna and wandb
GPU environment and cluster management with LLM support
Generate malicious URL blocklists for DNSBL applications like pfBlockerNG or Pi-hole by scanning various public URL sources using the Safe Browsing API from Google and/or Yandex.
Add a description, image, and links to the ray topic page so that developers can more easily learn about it.
To associate your repository with the ray topic, visit your repo's landing page and select "manage topics."