terrytangyuan / distributed-ml-patternsLinks
Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
☆454Updated last month
Alternatives and similar repositories for distributed-ml-patterns
Users that are interested in distributed-ml-patterns 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
- Slides, notes, and materials for the workshop☆328Updated last year
- Notebooks for the O'Reilly book "Learning Ray"☆315Updated last year
- Software Architecture for ML engineers☆411Updated 3 years ago
- [WIP] Examples for the Intro to ML with Kubeflow book☆205Updated 3 years ago
- Introduction to Ray Core Design Patterns and APIs.☆71Updated last year
- ☆74Updated last year
- ☆79Updated last week
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆393Updated 2 years ago
- Joining the modern data stack with the modern ML stack☆198Updated 2 years ago
- Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.☆221Updated 2 years ago
- CDF SIG MLOps☆625Updated 8 months ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆238Updated 2 years ago
- The Fuzzy Labs guide to the universe of open source MLOps☆471Updated 2 months 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
- ☆43Updated 2 years ago
- A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profil…☆82Updated last year
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆255Updated 9 months ago
- 🎲 A curated list of MLOps projects, tools and resources☆186Updated last year
- ML algorithms in depth☆247Updated 10 months ago
- Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…☆476Updated last year
- Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.☆476Updated 2 months ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆96Updated 2 years ago
- 🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more☆442Updated 3 years ago
- Reference code base for ML Engineering, Manning Publications☆132Updated 4 years ago
- Source code for "Enginneering Deep Learning Platforms"☆52Updated 3 months ago
- Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features☆657Updated 10 months ago
- Fine-tune an LLM to perform batch inference and online serving.☆112Updated 2 months ago
- Code samples for the Effective Data Science Infrastructure book☆115Updated 2 years ago
- A workshop with several modules to help learn Feast, an open-source feature store☆93Updated last month