EthicalML / fml-securityLinks
Practical examples of "Flawed Machine Learning Security" together with ML Security best practice across the end to end stages of the machine learning model lifecycle from training, to packaging, to deployment.
☆121Updated 3 years ago
Alternatives and similar repositories for fml-security
Users that are interested in fml-security are comparing it to the libraries listed below
Sorting:
- MLOps Cookiecutter Template: A Base Project Structure for Secure Production ML Engineering☆42Updated last year
- A repository that showcases how you can use ZenML with Git☆73Updated 4 months ago
- This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.☆118Updated last year
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆255Updated last year
- Concept drift monitoring for HA model servers.☆101Updated 2 years ago
- 🎲 A curated list of MLOps projects, tools and resources☆185Updated last year
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆151Updated last year
- A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profil…☆90Updated last year
- Chassis turns machine learning models into portable container images that can run just about anywhere.☆86Updated last year
- ☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes☆293Updated last year
- Fiddler Auditor is a tool to evaluate language models.☆188Updated last year
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆395Updated 3 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.☆233Updated last year
- The Fuzzy Labs guide to the universe of open source MLOps☆474Updated 6 months ago
- 🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)☆80Updated 3 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆184Updated last year
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 11 months ago
- A Collection of GitHub Actions That Facilitate MLOps☆206Updated 3 years ago
- End to End example integrating MLFlow and Seldon Core☆52Updated 5 years ago
- 🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more☆444Updated 4 years ago
- DagsHub client libraries☆102Updated last week
- ☆30Updated 2 years ago
- Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshop…☆142Updated last year
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆104Updated 2 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆266Updated 3 years ago
- ☆168Updated 6 months ago
- Get started DVC project (NLP, random forest)☆189Updated last year
- MLOps Python Library☆120Updated 3 years ago
- A simple guide to MLOps through ZenML and its various integrations.☆188Updated last year