mlspec / MLSpec
Unified specification for defining and executing ML workflows, making reproducibility, consistency, and governance easier across the ML pipelines
☆91Updated 11 months ago
Alternatives and similar repositories for MLSpec:
Users that are interested in MLSpec are comparing it to the libraries listed below
- Distributed XGBoost on Ray☆147Updated 8 months ago
- Incubating project for xgboost operator☆76Updated 3 years ago
- Python SDK for building, training, and deploying ML models☆336Updated 2 years ago
- ☆12Updated 9 months ago
- Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core☆174Updated 3 years ago
- MLCube® is a project that reduces friction for machine learning by ensuring that models are easily portable and reproducible.☆154Updated 6 months ago
- MLOps Python Library☆117Updated 2 years ago
- This repository contains example integrations between Determined and other ML products☆48Updated 11 months ago
- Flow with FlorDB 🌻☆154Updated last month
- yogadl, the flexible data layer☆74Updated last year
- User documentation for KServe.☆104Updated this week
- MLFlow Deployment Plugin for Ray Serve☆44Updated 2 years ago
- Tracking Ray Enhancement Proposals☆50Updated 3 weeks ago
- ☆59Updated 3 years ago
- Coarse-grained lineage and tracing for machine learning pipelines.☆467Updated 2 years ago
- ML-Powered Developer Tools, using Kubeflow☆55Updated 3 years ago
- Ray-based Apache Beam runner☆43Updated last year
- Repository for makeinga a GitHub Actions for deploying to Kubeflow.☆35Updated 3 years ago
- For recording and retrieving metadata associated with ML developer and data scientist workflows.☆640Updated 4 months ago
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors☆161Updated 10 months ago
- Machine Learning Inference Graph Spec☆21Updated 5 years ago
- FIL backend for the Triton Inference Server☆76Updated last week
- JupyterLab extension to provide a Kubeflow specific left area for Notebooks deployment☆18Updated 4 years ago
- Materials for the "AI on Kubernetes" tutorial at O'Reilly AI SF 2018☆65Updated 6 years ago
- Chassis turns machine learning models into portable container images that can run just about anywhere.☆86Updated 10 months ago
- Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.☆42Updated last year
- A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud☆140Updated 4 months ago
- Distribution transparent Machine Learning experiments on Apache Spark☆90Updated last year
- Repository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo☆135Updated 2 years ago
- A Scalable Auto-ML System☆53Updated 2 years ago