ibm-cloud-architecture / refarch-ml-ops
Reference architecture for machine learning operations
☆37Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for refarch-ml-ops
- Watson Machine Learning sample models, notebooks and apps.☆105Updated this week
- Watson Openscale sample assets, notebooks and apps.☆39Updated this week
- Slides and notebook for the workshop on serving bert models in production☆24Updated 2 years ago
- Machine Learning on Kubernetes, published by packt☆71Updated last year
- Watson OpenScale tutorials including sample models, notebooks and applications☆21Updated last year
- Sample applications that use IBM embeddable AI libraries and linked from https://dsce.ibm.com☆27Updated this week
- Machine Learning eXchange (MLX). Data and AI Assets Catalog and Execution Engine☆204Updated last year
- Repository to hold code, instructions, demos and pointers to presentation assets for Kubeflow Dojo☆133Updated 2 years ago
- AI Agents, LLM Fine-tuning, Developer Productivity, Governance, IBM watsonx☆17Updated this week
- Repository for storing IBM Industry Accelerator for Cloud Pak for Data artefacts☆25Updated last week
- Deploy a Custom Machine Learning engine and Monitor Payload Logging and Fairness using AI OpenScale☆10Updated last year
- Create an end-to-end AI solution that will help predict insurance premium cost with IBM Watson Studio and AutoAI.☆48Updated 2 years ago
- Example MLOps using BentoML & mlFlow☆37Updated 3 years ago
- This workshop was done as a part of the 1729 conference organized by Fractal Analytics and Analytics Vidhya. Key content covered was hand…☆21Updated 2 years ago
- Sample notebooks that are published by IBM for IBM Data Science Experience.☆59Updated this week
- A repository of examples for Elyra (https://github.com/elyra-ai/elyra)☆80Updated last year
- Examples showcasing model deployment☆17Updated last year
- Examples to showcase the use of Kale in data science pipelines☆27Updated last year
- consume Watson API in scale☆12Updated 3 years ago
- O'Reilly Katacoda☆56Updated 2 years ago
- Demo MLRun project for LLM Tuning and serving pipelines☆38Updated 3 months ago
- ☆16Updated 3 years ago
- This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.☆100Updated 7 months ago
- Demo for Using GitHub Actions in MLOps☆40Updated 2 years ago
- This is code depository for my upcoming session. Will update details post the session☆40Updated last year
- Sales Conversion Optimization MLOps: Boost revenue with AI-powered insights. Features H2O AutoML, ZenML pipelines, Neptune.ai tracking, d…☆17Updated 8 months ago
- demo CI/CD pipeline using MLRun, Kubeflow and GitHub Actions☆49Updated 2 years ago
- Best practices for engineering ML pipelines.☆37Updated 2 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆83Updated 2 years ago
- The goal of this repository is to enable data scientists and ML engineers to develop data science use cases and making it ready for produ…☆87Updated last year