mlspec / MLSpecLinks
Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML pipelines
☆95Updated last year
Alternatives and similar repositories for MLSpec
Users that are interested in MLSpec are comparing it to the libraries listed below
Sorting:
- Incubating project for xgboost operator☆77Updated 3 years ago
- Python SDK for building, training, and deploying ML models☆337Updated 3 years ago
- For recording and retrieving metadata associated with ML developer and data scientist workflows.☆663Updated 6 months ago
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆157Updated last year
- This repository contains example integrations between Determined and other ML products☆48Updated last year
- Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core☆175Updated 3 years ago
- FlorDB 🌻☆153Updated last week
- MLOps Python Library☆120Updated 3 years ago
- Kubeflow’s superfood for Data Scientists☆640Updated last week
- Repository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo☆136Updated 3 years ago
- Compare MLOps Platforms. Breakdowns of SageMaker, VertexAI, AzureML, Dataiku, Databricks, h2o, kubeflow, mlflow...☆392Updated 2 years ago
- Repository for assets related to Metadata.☆124Updated 3 years ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆469Updated 2 years ago
- Information about the Kubeflow community including proposals and governance information.☆179Updated last week
- Distributed XGBoost on Ray☆149Updated last year
- Repository for makeinga a GitHub Actions for deploying to Kubeflow.☆35Updated 3 years ago
- Terraform module for creating GKE clusters to run Kubeflow☆215Updated 4 years ago
- yogadl, the flexible data layer☆74Updated 2 years ago
- A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud☆143Updated 11 months ago
- A Scalable Auto-ML System☆54Updated 2 years ago
- MLFlow Deployment Plugin for Ray Serve☆46Updated 3 years ago
- Machine Learning Inference Graph Spec☆21Updated 6 years ago
- ☆12Updated last year
- ☆37Updated 6 years ago
- Chassis turns machine learning models into portable container images that can run just about anywhere.☆86Updated last year
- PyTorch on Kubernetes☆309Updated 3 years ago
- Test infrastructure and tooling for Kubeflow.☆62Updated 8 months ago
- Machine Learning Projects with Flytekit☆36Updated 2 years ago
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors☆162Updated last year
- Materials for the "AI on Kubernetes" tutorial at O'Reilly AI SF 2018☆65Updated 7 years ago