ml-metadata
by google
For recording and retrieving metadata associated with ML developer and data scientist workflows.
AI summary
Metadata manager
A library for recording and managing metadata associated with machine learning workflows
- stars
- 629
- forks
- 150
- watching
- 29
- awesome lists
- 2
Similar projects
Found by comparing what the projects do, not just their names.
Metadata manager
A metadata service for collecting, aggregating, and visualizing data ecosystem metadata
Metadata format standard
Standardizes metadata formats for machine learning models.
ML vocabulary
Develops and maintains a standard ontology of machine learning concepts and their relationships with other vocabularies and ontologies
Tag manager library
A service library to integrate Google Tag Manager into Angular applications
vertaai/modeldb1.7K
Model management platform
An open-source system for managing machine learning model versions, metadata, and experiment history.
Machine Learning Library
Provides pre-built implementations of machine learning algorithms in Go
Asset metadata manager
Provides an API and data structures to efficiently manage and retrieve market asset metadata in various financial markets.
Memory manager
A package providing low-level manual memory management utilities for Go
ML workflow guidance
Provides resources and patterns for implementing machine learning workflows on Google Cloud Platform
Params manager
A meta framework to define and manage parameters in classes without invoking objects.
App manager
An Android app manager with customizable features and Material Design support
ML framework component
A library designed to be usable by other JAX-based ML projects, providing optimized layers for machine learning at scale.
Image metadata manager
A Julia package for managing image metadata
ML library
A Clojure-based machine learning library that provides a simple and stable way to perform regression and classification tasks.
Pipeline manager
A distributed framework for building and managing complex machine learning pipelines with a user-friendly interface.
Featured in 2 awesome lists
Each link jumps to the spot where the list mentions ml-metadata.
