Related Products
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About
Manage and optimize models across the entire ML lifecycle, from experiment tracking to monitoring models in production. Achieve your goals faster with the platform built to meet the intense demands of enterprise teams deploying ML at scale. Supports your deployment strategy whether it’s private cloud, on-premise servers, or hybrid. Add two lines of code to your notebook or script and start tracking your experiments. Works wherever you run your code, with any machine learning library, and for any machine learning task. Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance. Monitor your models during every step from training to production. Get alerts when something is amiss, and debug your models to address the issue. Increase productivity, collaboration, and visibility across all teams and stakeholders.
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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.
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About
See how Savvi can quickly and easily solve your business challenges. Increase operational efficiency, and empower your team to succeed. Start with the decision, recommendation or prediction that you want to automate with AI. Easily integrate existing data or run a data cold start with a simple line of code in your app. Savvi handles your AI App end-to-end, define your prediction or decision options, identify business goals and publish. Savvi collects the data, trains the ML model, builds your objective function, deploys the AI App into your product. Savvi will continuously learn to improve to your goals. Savvi can securely collect data from your product and train an ML model in less than a few weeks. Just drop in a snippet of Savvi’s code and go. No need for a data architecture project to get started with AI.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
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Audience
Meta machine learning platform designed to help AI practitioners and teams build reliable machine learning models for real-world application
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Audience
Companies looking for an open source deep learning training platform that makes building models fast and easy
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Audience
Companies looking for a platform that helps AI-enabled forecasts and recommendation models
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
$179 per user per month
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationComet
Founded: 2017
United States
www.comet.com
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Company InformationDetermined AI
United States
www.determined.ai/
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Company InformationSAVVI AI
United States
www.savviai.com
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Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
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Deep Learning Features
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization
Machine Learning Features
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
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Integrations
Amazon SageMaker
Apache Spark
Axolotl
Clone Protocol
CogniSync
Flask
JavaScript
Ludwig
Microsoft Azure
MySQL
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Integrations
Amazon SageMaker
Apache Spark
Axolotl
Clone Protocol
CogniSync
Flask
JavaScript
Ludwig
Microsoft Azure
MySQL
|
Integrations
Amazon SageMaker
Apache Spark
Axolotl
Clone Protocol
CogniSync
Flask
JavaScript
Ludwig
Microsoft Azure
MySQL
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