iterative / gtoLinks
π·οΈ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.
β155Updated last week
Alternatives and similar repositories for gto
Users that are interested in gto are comparing it to the libraries listed below
Sorting:
- π Log and track ML metrics, parameters, models with Git and/or DVCβ184Updated last week
- Fast Data Science, AKA fds, is a CLI for Data Scientists to version control data and code at once, by conveniently wrapping git and dvcβ391Updated last year
- spock is a framework that helps manage complex parameter configurations during research and development of Python applicationsβ142Updated 2 years ago
- βοΈ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetesβ294Updated last year
- π¬ modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud stoβ¦β398Updated 11 months ago
- Kedro Plugin to support running workflows on Kubeflow Pipelinesβ56Updated 5 months ago
- πΆ A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one dayπ€β719Updated 2 years ago
- MLOps Python Libraryβ120Updated 3 years ago
- π² A curated list of MLOps projects, tools and resourcesβ186Updated last year
- Dataset registry DVC projectβ85Updated last year
- skops is a Python library helping you share your scikit-learn based models and put them in productionβ504Updated last week
- Super lightweight function registries for your libraryβ180Updated last year
- Machine learning experiment tracking and data versioning with DVC extension for VS Codeβ212Updated this week
- DagsHub client librariesβ102Updated last week
- Joining the modern data stack with the modern ML stackβ201Updated 2 years ago
- aim-mlflow integrationβ230Updated 2 years ago
- Get started DVC project (NLP, random forest)β189Updated last year
- β17Updated 2 years ago
- A list of projects relying on Iterative.AI tools to achieve awesomenessβ68Updated last year
- Chassis turns machine learning models into portable container images that can run just about anywhere.β86Updated last year
- The easiest way to integrate Kedro and Great Expectationsβ54Updated 2 years ago
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)β229Updated 3 weeks ago
- UnionML: the easiest way to build and deploy machine learning microservicesβ336Updated 2 years ago
- Toolkit for developing and maintaining ML modelsβ154Updated last year
- Listens MLFlow model registry changes and deploy models based on configurationsβ20Updated 2 years ago
- Super Simple Similarities Serviceβ155Updated 8 months ago
- Deploy MLflow with HTTP basic authentication using Dockerβ104Updated last month
- HiPlot fetcher for experiments logged with MLflowβ14Updated 3 years ago
- Confection: the sweetest config system for Pythonβ192Updated 2 weeks ago
- π Stream inferences of real-time ML models in production to any data lake (Experimental)β81Updated 3 years ago