maxpumperla / learning_rayLinks
Notebooks for the O'Reilly book "Learning Ray"
☆313Updated last year
Alternatives and similar repositories for learning_ray
Users that are interested in learning_ray are comparing it to the libraries listed below
Sorting:
- This is suite of the hands-on training materials that shows how to scale CV, NLP, time-series forecasting workloads with Ray.☆422Updated last year
- Ray tutorials from Anyscale☆614Updated last year
- Ray - A curated list of resources: https://github.com/ray-project/ray☆66Updated last month
- An introductory tutorial about leveraging Ray core features for distributed patterns.☆78Updated last year
- Introduction to Ray Core Design Patterns and APIs.☆71Updated last year
- Distributed XGBoost on Ray☆149Updated last year
- Serverless Python with Ray☆57Updated 2 years ago
- Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo☆451Updated 3 weeks ago
- ☆27Updated 2 years ago
- Tune efficiently any LLM model from HuggingFace using distributed training (multiple GPU) and DeepSpeed. Uses Ray AIR to orchestrate the …☆59Updated 2 years ago
- Scaling Python Machine Learning☆47Updated last year
- [WIP] Examples for the Intro to ML with Kubeflow book☆205Updated 3 years ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆238Updated 2 years ago
- Tracking Ray Enhancement Proposals☆53Updated 4 months ago
- Examples of inference pipelines implemented using https://github.com/SeldonIO/seldon-core☆15Updated 2 years ago
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆393Updated 2 years ago
- Slides, notes, and materials for the workshop☆328Updated last year
- FIL backend for the Triton Inference Server☆81Updated this week
- Class notes for the course "Long Term Memory in AI - Vector Search and Databases" COS 597A @ Princeton Fall 2023☆320Updated 6 months ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆470Updated 2 years ago
- ☆87Updated last year
- Source code for "Enginneering Deep Learning Platforms"☆52Updated 3 months ago
- Examples on how to use LangChain and Ray☆229Updated 2 years ago
- Joining the modern data stack with the modern ML stack☆198Updated 2 years ago
- A workshop with several modules to help learn Feast, an open-source feature store☆93Updated last month
- End to End example integrating MLFlow and Seldon Core☆52Updated 4 years ago
- An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more☆831Updated last week
- An example MLflow project☆267Updated last year
- Pretrain, finetune and serve LLMs on Intel platforms with Ray☆128Updated 3 weeks ago
- This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.☆217Updated 3 years ago