operatorai / modelstore
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.
β387Updated 2 months ago
Alternatives and similar repositories for modelstore:
Users that are interested in modelstore are comparing it to the libraries listed below
- πΆ A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one dayπ€β718Updated last year
- ML pipeline orchestration and model deployments on Kubernetes.β435Updated last year
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.β254Updated 5 months ago
- Coarse-grained lineage and tracing for machine learning pipelines.β467Updated 2 years ago
- The Fuzzy Labs guide to the universe of open source MLOpsβ459Updated 8 months ago
- β704Updated 2 years ago
- UnionML: the easiest way to build and deploy machine learning microservicesβ335Updated last year
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...β390Updated 2 years ago
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)β210Updated last week
- An end-to-end implementation of intent prediction with Metaflow and other cool toolsβ858Updated last year
- π² A curated list of MLOps projects, tools and resourcesβ186Updated 11 months ago
- Joining the modern data stack with the modern ML stackβ196Updated last year
- π·οΈ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.β146Updated this week
- βοΈ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetesβ293Updated 3 months ago
- Doubt your data, find bad labels.β509Updated 8 months ago
- skops is a Python library helping you share your scikit-learn based models and put them in productionβ467Updated 2 weeks ago
- A Collection of GitHub Actions That Facilitate MLOpsβ207Updated 2 years ago
- Monitor the stability of a Pandas or Spark dataframe βοΈβ499Updated last month
- Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lineβ¦β666Updated 3 weeks ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflowβ237Updated 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 dvcβ386Updated 8 months ago
- Behavioral "black-box" testing for recommender systemsβ466Updated last year
- β Eurybia monitors model drift over time and securizes model deployment with data validationβ206Updated 4 months ago
- MLOps Python Libraryβ117Updated 2 years ago
- Data search & enrichment library for Machine Learning β Easily find and add relevant features to your ML & AI pipeline from hundreds of pβ¦β327Updated this week
- A toolkit that streamlines and automates the generation of model cardsβ431Updated last year
- just a bunch of useful embeddings for scikit-learn pipelinesβ484Updated 2 months ago
- Start a data science project with modern toolsβ192Updated last year
- π§ͺ Simple data science experimentation & tracking with jupyter, papermill, and mlflow.β179Updated 8 months ago
- An open-source AutoML Library based on PyTorchβ307Updated 2 months ago