EthicalML / sml-securityLinks
MLOps Cookiecutter Template: A Base Project Structure for Secure Production ML Engineering
☆42Updated 10 months ago
Alternatives and similar repositories for sml-security
Users that are interested in sml-security are comparing it to the libraries listed below
Sorting:
- A repository that showcases how you can use ZenML with Git☆69Updated last month
- Practical examples of "Flawed Machine Learning Security" together with ML Security best practice across the end to end stages of the mach…☆119Updated 3 years ago
- Joining the modern data stack with the modern ML stack☆199Updated 2 years ago
- Code samples for the Effective Data Science Infrastructure book☆115Updated 2 years ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆255Updated 11 months ago
- 🎲 A curated list of MLOps projects, tools and resources☆185Updated last year
- This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.☆117Updated last year
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profil…☆86Updated last year
- Templates for your Kedro projects.☆78Updated 2 weeks ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆149Updated last year
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…☆48Updated 3 years ago
- Concept drift monitoring for HA model servers.☆102Updated 2 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆182Updated last year
- ☆66Updated 4 months ago
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆55Updated 2 months ago
- ☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes☆294Updated 9 months ago
- 🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)☆81Updated 3 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 8 months ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- A tutorial on how to use kedro-mlflow plugin (https://github.com/Galileo-Galilei/kedro-mlflow) to synchronize training and inference and …☆40Updated 3 years ago
- A Collection of GitHub Actions That Facilitate MLOps☆207Updated 2 years ago
- Chassis turns machine learning models into portable container images that can run just about anywhere.☆86Updated last year
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆394Updated 2 years ago
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.☆232Updated last year
- Plugins, extensions, case studies, articles, and video tutorials for Kedro☆88Updated 9 months ago
- This is a repository for the Duke University Cloud Computing course project on Serveless Data Engineering Pipeline. For this project, I r…☆19Updated 4 years ago
- Dataset registry DVC project☆81Updated last year
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆102Updated 2 years ago
- Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.☆226Updated 3 years ago