msaroufim / ml-design-patterns
Software Architecture for ML engineers
β383Updated 2 years ago
Related projects β
Alternatives and complementary repositories for ml-design-patterns
- π Minimal examples of machine learning tests for implementation, behaviour, and performance.β254Updated 2 years ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflowβ230Updated last year
- An end-to-end implementation of intent prediction with Metaflow and other cool toolsβ847Updated last year
- Joining the modern data stack with the modern ML stackβ193Updated last year
- Interview Questions and Answers for Machine Learning Engineer roleβ119Updated last year
- The Fuzzy Labs guide to the universe of open source MLOpsβ449Updated 4 months ago
- Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to sβ¦β184Updated 2 years ago
- π Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.β143Updated 7 months ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.β248Updated last month
- π Papers, guides, and mentor interviews on applying machine learning for ApplyingML.comβthe ghost knowledge of machine learning.β191Updated 5 months ago
- π€ A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!β257Updated 3 weeks ago
- Host repository for the "Reproducible Deep Learning" PhD courseβ405Updated 2 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packtβ159Updated 11 months ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.β206Updated 2 years ago
- Kaggle Pipeline for tabular data competitionsβ204Updated 4 months ago
- Code and files to go along with CS329s machine learning model deployment tutorial.β604Updated 2 years ago
- Learn how to create reliable ML systems by testing code, data and models.β83Updated 2 years ago
- π Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)β554Updated last year
- skops is a Python library helping you share your scikit-learn based models and put them in productionβ451Updated this week
- Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-β¦β455Updated 10 months ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).β96Updated last year
- Metaflow tutorials for ODSC West 2021β65Updated 3 years ago
- Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labsβ82Updated 8 months ago
- Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.β433Updated last year
- deep learning with pytorch lightningβ0Updated 3 weeks ago
- Exercises and supplementary material for the machine learning operations course at DTU.β593Updated this week
- A simple guide to MLOps through ZenML and its various integrations.β183Updated 9 months ago
- Behavioral "black-box" testing for recommender systemsβ459Updated last year
- π² A curated list of MLOps projects, tools and resourcesβ183Updated 6 months ago
- Example machine learning pipeline with MLflow and Hydraβ87Updated last year