operatorai / modelstoreLinks
🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider.
☆398Updated 9 months ago
Alternatives and similar repositories for modelstore
Users that are interested in modelstore are comparing it to the libraries listed below
Sorting:
- UnionML: the easiest way to build and deploy machine learning microservices☆336Updated 2 years ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆468Updated 3 years ago
- ML pipeline orchestration and model deployments on Kubernetes.☆433Updated 2 years ago
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆255Updated last year
- 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞☆719Updated 2 years ago
- Joining the modern data stack with the modern ML stack☆201Updated 2 years ago
- 🎲 A curated list of MLOps projects, tools and resources☆185Updated last year
- 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☆392Updated last year
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆394Updated 3 years ago
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)☆228Updated this week
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆507Updated 2 months ago
- skops is a Python library helping you share your scikit-learn based models and put them in production☆500Updated 2 weeks ago
- ☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes☆293Updated 11 months ago
- Doubt your data, find bad labels.☆516Updated last year
- The Fuzzy Labs guide to the universe of open source MLOps☆472Updated 5 months ago
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆872Updated 2 years ago
- A Collection of GitHub Actions That Facilitate MLOps☆207Updated 2 years ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆241Updated 2 years ago
- ☆703Updated 3 years ago
- MLOps Python Library☆120Updated 3 years ago
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆214Updated last week
- Kedro Plugin to support running workflows on GCP Vertex AI Pipelines☆37Updated 2 weeks ago
- Toolkit for developing and maintaining ML models☆154Updated last year
- 🏷️ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.☆153Updated 3 weeks ago
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆56Updated 4 months ago
- Behavioral "black-box" testing for recommender systems☆467Updated 2 years ago
- Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two line…☆668Updated 8 months ago
- Concept drift monitoring for HA model servers.☆101Updated 2 years ago
- just a bunch of useful embeddings for scikit-learn pipelines☆518Updated last month
- A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command☆72Updated 5 months ago