aporia-ai / mlops.toys
🎲 A curated list of MLOps projects, tools and resources
☆184Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for mlops.toys
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆247Updated last month
- A Collection of GitHub Actions That Facilitate MLOps☆208Updated last year
- MLOps Python Library☆116Updated 2 years ago
- ML pipeline orchestration and model deployments on Kubernetes.☆435Updated last year
- The Fuzzy Labs guide to the universe of open source MLOps☆448Updated 3 months ago
- 🚀 Stream inferences of real-time ML models in production to any data lake (Experimental)☆78Updated 2 years ago
- 🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more☆433Updated 3 years ago
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆383Updated last year
- 🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…☆375Updated 6 months ago
- Concept drift monitoring for HA model servers.☆101Updated last year
- A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.☆226Updated 8 months ago
- Toolkit for developing and maintaining ML models☆155Updated 5 months ago
- BentoML Example Projects 🎨☆134Updated 2 years ago
- Joining the modern data stack with the modern ML stack☆192Updated last year
- Learn how to create reliable ML systems by testing code, data and models.☆82Updated 2 years ago
- A repository that showcases how you can use ZenML with Git☆64Updated 3 months ago
- End to End example integrating MLFlow and Seldon Core☆51Updated 4 years ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆466Updated last year
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆142Updated 6 months ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆254Updated 2 years ago
- ☆703Updated 2 years ago
- Fast Data Science, AKA fds, is a CLI for Data Scientists to version control data and code at once, by conveniently wrapping git and dvc☆382Updated 4 months ago
- UnionML: the easiest way to build and deploy machine learning microservices☆337Updated last year
- ClearML - Model-Serving Orchestration and Repository Solution☆138Updated 2 months ago
- 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.☆344Updated 2 years ago
- A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profil…☆64Updated 6 months ago
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆205Updated 2 weeks ago
- 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞☆717Updated last year
- 🏷️ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.☆142Updated 2 weeks ago
- ☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes☆290Updated last month