Topic: "ray-serve"
ray-project/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.
Language: Jupyter Notebook - Size: 24 MB - Last synced at: 23 days ago - Pushed at: over 1 year ago - Stars: 393 - Forks: 76

NEOS-AI/Neosearch
AI-based search done right
Language: TypeScript - Size: 99.3 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 17 - Forks: 0

fork123aniket/LLM-RAG-powered-QA-App
A Production-Ready, Scalable RAG-powered LLM-based Context-Aware QA App
Language: Python - Size: 22.5 KB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 5 - Forks: 1

ray-project/ray-serve-arize-observe 📦
Building Real-Time Inference Pipelines with Ray Serve
Language: Jupyter Notebook - Size: 682 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 0

0-mostafa-rezaee-0/Batch_LLM_Inference_with_Ray_Data_LLM
Batch LLM Inference with Ray Data LLM: From Simple to Advanced
Language: Jupyter Notebook - Size: 1.63 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 1

ARYAN555279/Batch_LLM_Inference_with_Ray_Data_LLM
Batch LLM Inference with Ray Data LLM: From Simple to Advanced
Language: Dockerfile - Size: 1.5 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 1

marwan116/raycraft
A drop-in replacement of fastapi to enable scalable and fault tolerant deployments with ray serve
Language: Python - Size: 204 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

rupeshtr78/ray-gpu-kind-cluster
GPU-Passthrough Enabled Apache Ray Clusters on Kubernetes (Kind) for POC and Testing
Language: Shell - Size: 175 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

blublinsky/ray-serve
Experimenting with Ray Serve on KubeRay
Language: Python - Size: 11.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

DhavalkumarPatel/ImageClassification-with-Pytorch-Ray
This MLOps repository contains python modules intended for distributed model training, tuning, and serving using PyTorch and Ray, a distributed computing framework.
Language: Jupyter Notebook - Size: 646 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mpolinowski/ray-deployments
Use Ray to deploy your remote services.
Language: Python - Size: 1.95 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Carlososuna11/demo-ray-serve-multiple-models
contains the basic structure that a model serving application should have. This implementation is based on the Ray Serve framework.
Language: Python - Size: 6.84 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
