Alternatives and similar repositories for testing-ml

Users that are interested in testing-ml are comparing it to the libraries listed below

• eugeneyan / python-collab-template
  🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.
  ☆147Updated last year
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆183Updated 11 months ago
• eugeneyan / ml-design-docs
  📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
  ☆606Updated 2 years ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆87Updated 2 years ago
• shreyashankar / toy-ml-pipeline
  Toy example of an applied ML pipeline for me to experiment with MLOps tools.
  ☆209Updated 3 years ago
• eugeneyan / applyingml
  📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
  ☆200Updated last year
• jacopotagliabue / recs-at-resonable-scale
  Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow
  ☆237Updated 2 years ago
• dslp / dslp-repo-template
  Template repository for data science lifecycle project
  ☆194Updated 4 years ago
• msaroufim / ml-design-patterns
  Software Architecture for ML engineers
  ☆408Updated 2 years ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• aporia-ai / mlops.toys
  🎲 A curated list of MLOps projects, tools and resources
  ☆186Updated last year
• visenger / Awesome-ML-Model-Governance
  This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.
  ☆114Updated last year
• GokuMohandas / monitoring-ml
  Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.
  ☆86Updated 2 years ago
• khuyentran1401 / cicd-mlops-demo
  Demo for CI/CD in a machine learning project
  ☆106Updated last year
• machine-learning-apps / actions-ml-cicd
  A Collection of GitHub Actions That Facilitate MLOps
  ☆208Updated 2 years ago
• jacopotagliabue / post-modern-stack
  Joining the modern data stack with the modern ML stack
  ☆196Updated 2 years ago
• backpropagation64 / mle-interview-questions
  Interview Questions and Answers for Machine Learning Engineer role
  ☆120Updated last month
• fuzzylabs / awesome-open-mlops
  The Fuzzy Labs guide to the universe of open source MLOps
  ☆466Updated last month
• mlops-guide / dvc-gitactions
  Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…
  ☆47Updated 3 years ago
• koaning / doubtlab
  Doubt your data, find bad labels.
  ☆513Updated 11 months ago
• awesome-mlops / awesome-ml-monitoring
  A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profil…
  ☆78Updated last year
• zenml-io / mlstacks
  A series of Terraform based recipes to provision popular MLOps stacks on the cloud.
  ☆254Updated 8 months ago
• cmawer / reproducible-model
  ☆86Updated 6 years ago
• amesar / mlflow-examples
  Basic and advanced MLflow examples for many ML flavors
  ☆226Updated 11 months ago
• jacopotagliabue / FREE_7773
  Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).
  ☆96Updated 2 years ago
• jacopotagliabue / you-dont-need-a-bigger-boat
  An end-to-end implementation of intent prediction with Metaflow and other cool tools
  ☆865Updated 2 years ago
• chiphuyen / metaflow-transformers-tutorials
  Metaflow tutorials for ODSC West 2021
  ☆64Updated 3 years ago
• GokuMohandas / feature-store
  Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.
  ☆56Updated 2 years ago
• RecList / reclist
  Behavioral "black-box" testing for recommender systems
  ☆468Updated last year
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆160Updated last year