modzy / model-deployment-checklist
An efficient, to-the-point, and easy-to-use checklist to following when deploying an ML model into production.
β30Updated 2 years ago
Alternatives and similar repositories for model-deployment-checklist:
Users that are interested in model-deployment-checklist are comparing it to the libraries listed below
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.β37Updated 4 years ago
- π Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projectsβ81Updated 3 years ago
- Drift detection module for machine learning pipelines.β21Updated last year
- A repository that showcases how you can use ZenML with Gitβ69Updated 7 months ago
- π€ Collection of examples on how to train, deploy and monitor HuggingFace models in Google Cloud Vertex AIβ21Updated last year
- Build fast gradio demos of fastai learnersβ35Updated 3 years ago
- A framework for simulating e-commerce data and interactions that can be used to build recommendation systemsβ10Updated last year
- Codes, scripts, and notebooks on various aspects of transformer models.β27Updated 2 years ago
- β14Updated last year
- Study the temporal performance degradation of machine learning models.β15Updated last year
- Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlibβ19Updated 3 years ago
- β15Updated 2 years ago
- β77Updated 9 months ago
- Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to productionβ¦