There are 20 repositories under model-management topic.
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Experiment tracking for machine and deep learning projects
The official python package for NimbleBox. Exposes all APIs as CLIs and contains modules to make ML ๐ธ
Cloud Native Machine Learning Model Registry
A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management ๐
A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data ๐
Solution for deploying and managing end-to-end federated learning workflows
An opinionated framework for deploying, managing, and serving application workloads
Zoomaker - Friendly house keeping for your AI model zoo and related resources
ML container made simple
A curated list of awesome open source and commercial platforms for serving models in production ๐
A lightweight command line interface for the management of arbitrary machine learning tasks
Versioned samples and tutorials to get started with Vectice.
mix reducer and class together, so we can use react useReducer like useClass, but still like use a reducer.
MLFlow End to End Workshop at Chandigarh University
A curated list of awesome open source and commercial MLOps platforms ๐
A curated list of awesome open source tools and commercial products that will help you manage machine learning and data-science workflows and pipelines ๐
Machine-Learning orchestration framework. Cloud-based models management environment.
This is a model container for javascript or typescript app
A curated list of awesome open source tools and commercial products that will help you train, deploy, monitor, version, scale, and secure your production machine learning on kubernetes ๐
A Model Management Platform (MMP) for Industry 4.0 Environments (Frontend)
A Model Management Platform (MMP) for Industry 4.0 Environments (Backend)
MLflow workshop held at Applied Machine Learning Days 2020 in Lausanne
A curated list of awesome open source tools and commercial products for autoML hyperparameter tuning ๐
This project applies machine learning models to predict BMI categories based on individual physical attributes, utilizing MLflow for experiment tracking and model management, with integration into DagsHub for collaborative data science workflows. It showcases the power of MLflow in enhancing model lifecycle management and reproducibility.