eugeneyan / testing-mlLinks
π Minimal examples of machine learning tests for implementation, behaviour, and performance.
β263Updated 3 years ago
Alternatives and similar repositories for testing-ml
Users that are interested in testing-ml are comparing it to the libraries listed below
Sorting:
- π Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.β149Updated last year
- π Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)β621Updated 2 years ago
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.β208Updated 3 years ago
- π§ͺ Simple data science experimentation & tracking with jupyter, papermill, and mlflow.β183Updated last year
- Software Architecture for ML engineersβ413Updated 3 years ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflowβ240Updated 2 years ago
- π Papers, guides, and mentor interviews on applying machine learning for ApplyingML.comβthe ghost knowledge of machine learning.β203Updated last year
- Learn how to create reliable ML systems by testing code, data and models.β89Updated 3 years ago
- Example machine learning pipeline with MLflow and Hydraβ94Updated 2 years ago
- Kaggle Pipeline for tabular data competitionsβ206Updated last year
- Interview Questions and Answers for Machine Learning Engineer roleβ116Updated 4 months ago
- The Fuzzy Labs guide to the universe of open source MLOpsβ472Updated 4 months ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.β92Updated 3 years ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).β96Updated 2 years ago
- Joining the modern data stack with the modern ML stackβ199Updated 2 years ago
- A Collection of GitHub Actions That Facilitate MLOpsβ208Updated 2 years ago
- Code samples for the Effective Data Science Infrastructure bookβ115Updated 2 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packtβ162Updated 3 weeks ago
- An open-source AutoML Library based on PyTorchβ306Updated 2 months ago
- This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.β117Updated last year
- Metaflow tutorials for ODSC West 2021β64Updated 3 years ago
- π Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projectsβ82Updated 3 years ago
- π² A curated list of MLOps projects, tools and resourcesβ184Updated last year
- Streamline scikit-learn model comparison.β143Updated 2 years ago
- Machine Learning begins with Human Learningβ108Updated 4 years ago
- π Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.β145Updated last year
- A list of public machine learning/data science/AI contests.β204Updated last week
- 100 exercises to learn Python Datatableβ270Updated 3 years ago
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.β233Updated last year
- Template repository for data science lifecycle projectβ197Updated 5 years ago