Audience

Meta machine learning platform designed to help AI practitioners and teams build reliable machine learning models for real-world application

About Comet

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.

Pricing

Starting Price:
$179 per user per month
Free Version:
Free Version available.

Integrations

API:
Yes, Comet offers API access

Ratings/Reviews

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

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Company Information

Comet
Founded: 2017
United States
www.comet.com

Videos and Screen Captures

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Product Details

Platforms Supported
Cloud
On-Premises
Training
Documentation
Live Online
Videos
Support
Online

Comet Frequently Asked Questions

Q: What kinds of users and organization types does Comet work with?
Q: What languages does Comet support in their product?
Q: What other applications or services does Comet integrate with?
Q: Does Comet have an API?
Q: What type of training does Comet provide?
Q: How much does Comet cost?

Comet Product Features

Data Science

Data Ingestion
Data Preparation
Data Visualization
Data Discovery
Advanced Modeling
Model Deployment
Access Control
Audit Logs
Reports

Deep Learning

ML Algorithm Library
Model Training
Visualization
Convolutional Neural Networks
Document Classification
Image Segmentation
Neural Network Modeling
Self-Learning

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Visualization
Predictive Modeling
Statistical / Mathematical Tools
Templates

Comet Additional Categories