msaroufim / ml-design-patternsLinks
Software Architecture for ML engineers
β413Updated 3 years ago
Alternatives and similar repositories for ml-design-patterns
Users that are interested in ml-design-patterns are comparing it to the libraries listed below
Sorting:
- π Minimal examples of machine learning tests for implementation, behaviour, and performance.β263Updated 3 years ago
- π Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)β621Updated 2 years ago
- Interview Questions and Answers for Machine Learning Engineer roleβ116Updated 5 months ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflowβ240Updated 2 years ago
- An end-to-end implementation of intent prediction with Metaflow and other cool toolsβ871Updated 2 years ago
- The Fuzzy Labs guide to the universe of open source MLOpsβ471Updated 5 months ago
- π Papers, guides, and mentor interviews on applying machine learning for ApplyingML.comβthe ghost knowledge of machine learning.β203Updated last year
- Kaggle Pipeline for tabular data competitionsβ206Updated last year
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.β209Updated 3 years ago
- Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-β¦β478Updated last year
- Joining the modern data stack with the modern ML stackβ201Updated 2 years 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 3 years ago
- Host repository for the "Reproducible Deep Learning" PhD courseβ407Updated 3 years ago
- Code and files to go along with CS329s machine learning model deployment tutorial.β611Updated 2 years ago
- Basic and advanced MLflow examples for many ML flavorsβ238Updated last year
- Compilation of high-profile real-world examples of failed machine learning projectsβ740Updated last year
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.β255Updated last year
- π Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.β149Updated last year
- π§ͺ Simple data science experimentation & tracking with jupyter, papermill, and mlflow.β183Updated last year
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.β232Updated last year
- Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.β486Updated 5 months ago
- 100 exercises to learn Python Datatableβ271Updated 3 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packtβ162Updated last month
- Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labsβ83Updated last year
- An open-source AutoML Library based on PyTorchβ306Updated 2 weeks ago
- A simple guide to MLOps through ZenML and its various integrations.β187Updated last year
- π No need to keep checking your training - just one import line and you'll know the second it's done.β344Updated 3 years ago
- An ongoing list of pandas quirksβ981Updated 2 years ago
- Learn how to create reliable ML systems by testing code, data and models.β89Updated 3 years ago
- This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.β342Updated 3 years ago