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About

MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components. Record and query experiments: code, data, config, and results. Package data science code in a format to reproduce runs on any platform. Deploy machine learning models in diverse serving environments. Store, annotate, discover, and manage models in a central repository. The MLflow Tracking component is an API and UI for logging parameters, code versions, metrics, and output files when running your machine learning code and for later visualizing the results. MLflow Tracking lets you log and query experiments using Python, REST, R API, and Java API APIs. An MLflow Project is a format for packaging data science code in a reusable and reproducible way, based primarily on conventions. In addition, the Projects component includes an API and command-line tools for running projects.

About

A secure platform for developing and sharing reproducible methods. Central and secure place to organize up-to-date/versionable methods with history and concurrent editing. Create and discover reproducible experimental and computational methods with video, reagents, detailed parameters, and more. Private & secure collaboration w/ HIPAA compliance, audit trail, approval/signature (21 CFR Part 11), 2-factor authentication, encryption, VPC, and more. A protocols.io Institutional Plan increases productivity, facilitates teaching, improves collaboration and recordkeeping, and accelerates progress across most research disciplines.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies looking for an open source platform solution for the machine learning lifecycle

Audience

Biotechs, pharmaceuticals, universities

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

MLflow
Founded: 2018
United States
mlflow.org

Company Information

protocols.io
Founded: 2012
United States
www.protocols.io

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Categories

Categories

Integrations

Aporia
Azure Data Science Virtual Machines
Azure Machine Learning
Databricks Data Intelligence Platform
Determined AI
Docker
HoneyHive
Kedro
Kubernetes
Microsoft 365
Modulos AI Governance Platform
OpenMetadata
RapidSOS
Scispot
Superwise
UbiOps
conDati
lakeFS
navio

Integrations

Aporia
Azure Data Science Virtual Machines
Azure Machine Learning
Databricks Data Intelligence Platform
Determined AI
Docker
HoneyHive
Kedro
Kubernetes
Microsoft 365
Modulos AI Governance Platform
OpenMetadata
RapidSOS
Scispot
Superwise
UbiOps
conDati
lakeFS
navio
Claim MLflow and update features and information
Claim MLflow and update features and information
Claim protocols.io and update features and information
Claim protocols.io and update features and information