eugeneyan / ml-design-docsLinks
📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
☆618Updated 2 years ago
Alternatives and similar repositories for ml-design-docs
Users that are interested in ml-design-docs are comparing it to the libraries listed below
Sorting:
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆263Updated 2 years ago
- Software Architecture for ML engineers☆412Updated 3 years ago
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆869Updated 2 years ago
- The Fuzzy Labs guide to the universe of open source MLOps☆472Updated 3 months ago
- 🤓 A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!☆295Updated 10 months ago
- 📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.☆203Updated last year
- The purpose of the catalog is to help data science teams to collect all the requirements to consider while building a ML model and produc…☆128Updated 4 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆182Updated last year
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆239Updated 2 years ago
- Collection of articles listing reasons why data science projects fail.☆465Updated 4 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆148Updated last year
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆208Updated 3 years ago
- Behavioral "black-box" testing for recommender systems☆468Updated 2 years ago
- Joining the modern data stack with the modern ML stack☆199Updated 2 years ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆255Updated 11 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 s…☆183Updated 3 years ago
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆394Updated 2 years ago
- Basic and advanced MLflow examples for many ML flavors☆231Updated last year
- 🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more☆442Updated 3 years ago
- An ongoing list of pandas quirks☆976Updated 2 years ago
- 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞☆720Updated last year
- Template repository for data science lifecycle project☆194Updated 5 years ago
- ☆704Updated 2 years ago
- MLOpsCommunity's reading group for _Practical MLOps_ by Noah Gift and Alfredo Deza☆51Updated 3 years ago
- 100 exercises to learn Python Datatable☆270Updated 3 years ago
- CDF SIG MLOps☆627Updated 9 months ago
- Code and files to go along with CS329s machine learning model deployment tutorial.☆609Updated 2 years ago
- Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…☆477Updated last year
- Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson☆600Updated 2 years ago
- Clean Code concepts adapted for machine learning and data science. Now a free video series 😎 https://bit.ly/2yGDyqT☆730Updated 3 years ago