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About

Distributed training without changing your model code, determined takes care of provisioning machines, networking, data loading, and fault tolerance. Our open source deep learning platform enables you to train models in hours and minutes, not days and weeks. Instead of arduous tasks like manual hyperparameter tuning, re-running faulty jobs, and worrying about hardware resources. Our distributed training implementation outperforms the industry standard, requires no code changes, and is fully integrated with our state-of-the-art training platform. With built-in experiment tracking and visualization, Determined records metrics automatically, makes your ML projects reproducible and allows your team to collaborate more easily. Your researchers will be able to build on the progress of their team and innovate in their domain, instead of fretting over errors and infrastructure.

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.

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 deep learning training platform that makes building models fast and easy

Audience

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

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:

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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

Determined AI
United States
www.determined.ai/

Company Information

MLflow
Founded: 2018
United States
mlflow.org

Alternatives

Alternatives

Union Cloud

Union Cloud

Union.ai
Ray

Ray

Anyscale
DVC

DVC

iterative.ai

Categories

Categories

Integrations

Amazon SageMaker
Apache Spark
Google Cloud Platform
TensorFlow
Amazon Web Services (AWS)
Apache Airflow
Azure Data Science Virtual Machines
H2O.ai
Hadoop
MLflow
Pachyderm
Ragas
RapidSOS
Seldon
TrueFoundry
Unity Catalog
Vectice
lakeFS
neptune.ai

Integrations

Amazon SageMaker
Apache Spark
Google Cloud Platform
TensorFlow
Amazon Web Services (AWS)
Apache Airflow
Azure Data Science Virtual Machines
H2O.ai
Hadoop
MLflow
Pachyderm
Ragas
RapidSOS
Seldon
TrueFoundry
Unity Catalog
Vectice
lakeFS
neptune.ai
Claim Determined AI and update features and information
Claim Determined AI and update features and information
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