operatorai / modelstoreLinks
π¬ 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.
β397Updated 8 months ago
Alternatives and similar repositories for modelstore
Users that are interested in modelstore are comparing it to the libraries listed below
Sorting:
- πΆ A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one dayπ€β720Updated 2 years ago
- UnionML: the easiest way to build and deploy machine learning microservicesβ336Updated last year
- ML pipeline orchestration and model deployments on Kubernetes.β434Updated 2 years ago
- Coarse-grained lineage and tracing for machine learning pipelines.β469Updated 2 years ago
- β704Updated 3 years ago
- Joining the modern data stack with the modern ML stackβ199Updated 2 years ago
- skops is a Python library helping you share your scikit-learn based models and put them in productionβ499Updated this week
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.β255Updated 11 months ago
- An end-to-end implementation of intent prediction with Metaflow and other cool toolsβ870Updated 2 years ago
- The Fuzzy Labs guide to the universe of open source MLOpsβ472Updated 4 months ago
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)β224Updated 3 weeks ago
- βοΈ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetesβ294Updated 9 months ago
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...β393Updated 2 years ago
- Monitor the stability of a Pandas or Spark dataframe βοΈβ505Updated 3 weeks ago
- Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lineβ¦β667Updated 7 months 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 dvcβ393Updated last year
- π² A curated list of MLOps projects, tools and resourcesβ184Updated last year
- Doubt your data, find bad labels.β514Updated last year
- A Collection of GitHub Actions That Facilitate MLOpsβ208Updated 2 years ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflowβ240Updated 2 years ago
- π·οΈ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.