Ray

Ray

Anyscale
+
+

Related Products

  • Vertex AI
    713 Ratings
    Visit Website
  • RunPod
    141 Ratings
    Visit Website
  • LM-Kit.NET
    16 Ratings
    Visit Website
  • Fraud.net
    56 Ratings
    Visit Website
  • Ango Hub
    15 Ratings
    Visit Website
  • Google Cloud BigQuery
    1,734 Ratings
    Visit Website
  • Google AI Studio
    4 Ratings
    Visit Website
  • BytePlus Recommend
    1 Rating
    Visit Website
  • Qloo
    23 Ratings
    Visit Website
  • Google Cloud Speech-to-Text
    374 Ratings
    Visit Website

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

Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.

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

ML and AI Engineers, Software Developers

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

Free
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

Anyscale
Founded: 2019
United States
ray.io

Alternatives

Union Cloud

Union Cloud

Union.ai

Alternatives

Vertex AI

Vertex AI

Google
AWS Neuron

AWS Neuron

Amazon Web Services
Vertex AI

Vertex AI

Google

Categories

Categories

Integrations

Amazon SageMaker
Databricks Data Intelligence Platform
Flyte
Google Cloud Platform
Kubernetes
TensorFlow
Union Cloud
Amazon EKS
Anyscale
Azure Marketplace
IBM Databand
Kedro
LLaMA-Factory
MLflow
Modulos AI Governance Platform
RapidSOS
Superwise
TrueFoundry
lakeFS
navio

Integrations

Amazon SageMaker
Databricks Data Intelligence Platform
Flyte
Google Cloud Platform
Kubernetes
TensorFlow
Union Cloud
Amazon EKS
Anyscale
Azure Marketplace
IBM Databand
Kedro
LLaMA-Factory
MLflow
Modulos AI Governance Platform
RapidSOS
Superwise
TrueFoundry
lakeFS
navio
Claim MLflow and update features and information
Claim MLflow and update features and information
Claim Ray and update features and information
Claim Ray and update features and information