mlops-on-gcp
AI summary
ML workflow guidance
Provides resources and patterns for implementing machine learning workflows on Google Cloud Platform
- stars
- 784
- forks
- 2.7K
- watching
- 41
Similar projects
Found by comparing what the projects do, not just their names.
Container image tools
Tools and scripts for building, testing, and distributing container images on Google Cloud Platform
GCP toolset
Tools for automating interactions with Google Cloud Platform products
MLOps platform
An MLOps platform providing tools and services to deploy, collaborate and manage machine learning models and data pipelines in a simplified way
cdipaolo/goml1.6K
ML framework
A Go library that provides an online machine learning framework with various algorithms and models
Data pipelines
A collection of pre-implemented data pipelines using Google Cloud Dataflow and Apache Beam
Enterprise app demo
An example application demonstrating how to modernize enterprise applications using Google Cloud products and Kubernetes.
Deployment frameworks
A collection of pre-configured environments for deploying various Google Cloud-based applications
Cloud toolset
Provides pre-built images and examples for various tools used in Google Cloud Build API
mlrun/mlrun1.5K
ML workflow platform
A platform for managing and deploying machine learning workflows across the application lifecycle
Cloud API samples
Demonstrates C++ interactions with various Google Cloud services
ML framework component
A library designed to be usable by other JAX-based ML projects, providing optimized layers for machine learning at scale.
ML pipeline
Automates the end-to-end machine learning workflow from code commit to model deployment
Cloud clients
A set of C++ libraries providing access to various Google Cloud Platform services.
GCP integration tool
A GitHub Action for interacting with Google Cloud Platform
Build steps
Community-contributed images for Google Cloud Build