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New SaaS Software

4.6 11 user ratings

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Workvivo

New SaaS Software

4.9 1,470 user ratings

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Qualified

New SaaS Software

4.8 6 user ratings

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Overview

Description Determined AI is a hyperparameter tuning and distributed deep learning platform, enabling users to generate profound learning models as per their convenience. It is specially configured for developers’ productivity increment, resource (GPU) utilization improvement and risk reduction. The open-source platform allows users to train models within a short time span i.e hours and minutes. Difficult tasks like re-running faulty jobs, hyperparameter tuning, hardware resource management etc is taken care of by Determined AI, allowing users to focus on other important business tasks. The distributed training module within Determined AI is designed to outperform industrial standards and needs no alterations within code. It is also integrated with the state of the art training platform built within the software. An experiment dashboard, accompanied by a sophisticated checkpoint and resource scheduling mechanism, enables users to share their experiments, resources and data with their team members in a secured manner. The software offers real-time compatibility with deep learning frameworks like Keras, PyTorch and more. Read more MLflow is a futuristic machine learning platform that helps developers manage the entire machine learning lifecycle in an efficient manner. In addition, it also helps users to proceed with experimentation, deployment, and reproducibility of codes. Currently, MLflow offers four components to individual users. The first component is Tracking, which helps developers with logging parameters, metrics, code versions, and output files while running the machine learning code and result analytics part. The second component is Projects that include a command-line and other API tools facilitating seamless management of projects in progress. This also makes it possible for developers to bring all projects with a single workflow. The third component being Models, which can be used for packaging machine learning models, besides proceeding with deployment in diverse serving environments. Finally, Registry- a centralized model serves as a store for APIs and UI, besides helping out users to proceed with the full life cycle of an MLflow Model. Real-time integration facilities with Kubernetes, Google Cloud, and TensorFlow, enables seamless business management. Read more Workvivo is a new breed of employee communication platform designed to build natural, meaningful bonds between teams while helping companies reach and engage their employees in ways that traditional tools simply can’t. Read more Qualified's assessment platform is the most effective technique to evaluate coding abilities. Use standardised tests to better understand the strengths and shortcomings of developers. All of the tests have been professionally developed and are intended to evaluate real-world abilities that are relevant to your vacant positions.Create a comprehensive developer profile that includes language and framework-specific competencies, soft skills, and working style. Analyze candidate performance to see how they stack up against your team or all other developers on the Qualified platform.It has a vast list of features such as - Create your own assessments, from little to large-scale projects, without ever leaving their platform. Detailed benchmarking statistics to help you understand the relative complexity of each evaluation, as well as how each developer compares to other software engineers across the world.One of its most beneficial features is code review tools - provides a comprehensive set of code review tools that help save time and gain insight into the quality of developer’s code and working style.Recreate your code project to deploy and grade it at scale. Read more
Pricing Options
  • Free Trial Not Available
  • Determined AI Offers Custom plan.
  • Free Trial Not Available
  • MLflow Offers Custom plan.
  • Free Trial Not Available
  • Workvivo Offers Custom plan.
  • Free Trial Available
  • Qualified Offers Custom plan.
SW Score & Breakdown

Technical Details

Organization Types Supported
  • Individuals
  • Large Enterprises
  • Medium Business
  • Small Business
  • Individuals
  • Large Enterprises
  • Medium Business
  • Small Business
  • Individuals
  • Large Enterprises
  • Medium Business
  • Small Business
  • Individuals
  • Large Enterprises
  • Medium Business
  • Small Business
Platforms Supported
  • SaaS/Web/Cloud
  • Mobile - Android
  • Mobile - iOS
  • SaaS/Web/Cloud
  • Mobile - Android
  • Mobile - iOS
  • SaaS/Web/Cloud
  • Mobile - Android
  • Mobile - iOS
  • SaaS/Web/Cloud
  • Mobile - Android
  • Mobile - iOS
Modes of Support
  • Online
  • Online
  • Online
  • Online
API Support
  • Available
  • Available
  • NA
  • Available

Reviews & Ratings

User Rating
4.6/5 11 user ratings
5/5
4.9/5 1,470 user ratings
4.8/5 6 user ratings
Ratings Distribution
  • Excellent

    63.6%
  • Very Good

    36.4%
  • Average

    0%
  • Poor

    0%
  • Terrible

    0%
  • Excellent

    100%
  • Very Good

    0%
  • Average

    0%
  • Poor

    0%
  • Terrible

    0%
  • Excellent

    93.7%
  • Very Good

    5.6%
  • Average

    0.6%
  • Poor

    0.1%
  • Terrible

    0.1%
  • Excellent

    77.4%
  • Very Good

    22.6%
  • Average

    0%
  • Poor

    0%
  • Terrible

    0%
Pros & Cons
  • Hyperparameter tuning and distributed deep learning platform
  • Improves developer productivity and resource utilization
  • Reduces risk and allows for faster model training
  • Integrated with state-of-the-art training platform
  • Experiment dashboard for easy sharing and collaboration
  • May require technical expertise to fully utilize
  • Limited documentation and support resources
  • Open-source platform for managing the ML lifecycle
  • Helps with experimentation, deployment, and reproducibility
  • Offers tracking, projects, models, and registry components
  • Integrates with Kubernetes, Google Cloud, and TensorFlow
  • Centralized model store for easy management
  • Can be complex to set up and configure
  • May require additional resources for large-scale deployments
Not Available
Not Available
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AI-Generated from the text of User Reviews

Pricing

Pricing Options
  • Free Trial Not Available
  • Determined AI Offers Custom plan.
  • Free Trial Not Available
  • MLflow Offers Custom plan.
  • Free Trial Not Available
  • Workvivo Offers Custom plan.
  • Free Trial Available
  • Qualified Offers Custom plan.
Pricing Plans
Monthly Plans Annual Plans

Determined AI Custom

MLflow Custom

Workvivo Custom

Team Custom

 
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Alternatives

 

Screenshots & Videos

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Vendor information

Company Details Located in: San Francisco, California Located in: San Francisco, California Located in: Cork city, Ireland Founded in: 2017 Located in: San Francisco, California Founded in: 2016
Contact Details

Not available

https://determined.ai/

Not available

https://mlflow.org/

Not available

https://www.workvivo.com/

Not available

https://www.qualified.io/

Social Media Handles

FAQs

What are the key differences between Determined AI and MLflow?

Determined AI focuses on hyperparameter tuning and distributed deep learning, while MLflow is a platform for managing the entire machine learning lifecycle.

What are the alternatives to Determined AI?

The top alternatives to Determined AI are MLflow, DeepMux, FloydHub, Neuro, and Azure Machine Learning Studio.

What are the alternatives to MLflow?

The top alternatives to MLflow are DVC Studio, Azure Machine Learning Studio, Weights & Biases, Algorithmia, and ScoopML.

Which product is better for managing the entire machine learning lifecycle?

MLflow is a better choice for managing the entire machine learning lifecycle, as it offers features for tracking, projects, models, and registry.

Which product is better for hyperparameter tuning and distributed deep learning?

Determined AI is a better choice for hyperparameter tuning and distributed deep learning, as it offers specialized features for these tasks.

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