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.
☆391Updated 5 months ago
Alternatives and similar repositories for modelstore
Users that are interested in modelstore are comparing it to the libraries listed below
Sorting:
- 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞☆720Updated last year
- ML pipeline orchestration and model deployments on Kubernetes.☆435Updated last year
- UnionML: the easiest way to build and deploy machine learning microservices☆335Updated last year
- Coarse-grained lineage and tracing for machine learning pipelines.☆469Updated 2 years ago
- skops is a Python library helping you share your scikit-learn based models and put them in production☆490Updated this week
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)☆217Updated this week
- Doubt your data, find bad labels.☆513Updated 11 months ago
- 🎲 A curated list of MLOps projects, tools and resources☆186Updated last year
- A series of Terraform based recipes to provision popular MLOps stacks on the cloud.☆254Updated 8 months ago
- The Fuzzy Labs guide to the universe of open source MLOps☆466Updated last month
- ☆704Updated 2 years ago
- MLOps Python Library☆119Updated 3 years ago
- A Collection of GitHub Actions That Facilitate MLOps☆208Updated 2 years ago
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆391Updated 2 years ago
- ☁️ Terraform plugin for machine learning workloads: spot instance recovery & auto-termination | AWS, GCP, Azure, Kubernetes☆295Updated 6 months ago
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆865Updated 2 years ago
- Kubeflow’s superfood for Data Scientists☆636Updated this week
- Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two line…☆667Updated 3 months ago
- Joining the modern data stack with the modern ML stack☆196Updated 2 years ago
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆503Updated 4 months ago
- Distributed XGBoost on Ray☆148Updated 11 months ago
- 🏷️ Git Tag Ops. Turn your Git repository into Artifact Registry or Model Registry.☆148Updated this week
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆210Updated 7 months ago
- 🍫 Example code for a basic ML Platform based on Pulumi, FastAPI, DVC, MLFlow and more☆441Updated 3 years ago
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆54Updated 9 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 dvc☆387Updated 11 months ago
- For recording and retrieving metadata associated with ML developer and data scientist workflows.☆651Updated 2 months ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆183Updated 11 months ago
- A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command☆69Updated last month
- just a bunch of useful embeddings for scikit-learn pipelines☆500Updated 2 months ago