eugeneyan / ml-design-docs
π Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
β583Updated 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
- π Minimal examples of machine learning tests for implementation, behaviour, and performance.β261Updated 2 years ago
- Software Architecture for ML engineersβ398Updated 2 years ago
- π Papers, guides, and mentor interviews on applying machine learning for ApplyingML.comβthe ghost knowledge of machine learning.β198Updated 9 months ago
- π Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.β145Updated 11 months ago
- An end-to-end implementation of intent prediction with Metaflow and other cool toolsβ858Updated last year
- The Fuzzy Labs guide to the universe of open source MLOpsβ458Updated 8 months ago
- Code and files to go along with CS329s machine learning model deployment tutorial.β605Updated 2 years ago
- Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelsonβ592Updated last year
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.β207Updated 3 years ago
- Collection of articles listing reasons why data science projects fail.β463Updated 4 years ago
- The purpose of the catalog is to help data science teams to collect all the requirements to consider while building a ML model and producβ¦β129Updated 4 years ago
- π€ A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!β278Updated 4 months ago
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...β390Updated 2 years ago
- π§ͺ Simple data science experimentation & tracking with jupyter, papermill, and mlflow.β179Updated 8 months ago
- Template repository for data science lifecycle projectβ190Updated 4 years ago
- A toolkit that streamlines and automates the generation of model cardsβ431Updated last year
- π« Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and moreβ441Updated 3 years ago
- An ongoing list of pandas quirksβ954Updated last year
- Behavioral "black-box" testing for recommender systemsβ466Updated last year
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.β254Updated 5 months ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflowβ237Updated last year
- Full Stack Deep Learning Online Courseβ893Updated 3 years ago
- Example project for the course "Testing & Monitoring Machine Learning Model Deployments"β134Updated last year
- The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process β¦β504Updated 3 years ago
- Basic and advanced MLflow examples for many ML flavorsβ220Updated 8 months ago
- β704Updated 2 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packtβ159Updated last year
- Doubt your data, find bad labels.β509Updated 8 months ago
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.β232Updated last year
- This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.β335Updated 3 years ago