What is Comet?
Oversee and enhance models throughout the comprehensive machine learning lifecycle. This process encompasses tracking experiments, overseeing models in production, and additional functionalities. Tailored for the needs of large enterprise teams deploying machine learning at scale, the platform accommodates various deployment strategies, including private cloud, hybrid, or on-premise configurations. By simply inserting two lines of code into your notebook or script, you can initiate the tracking of your experiments seamlessly. Compatible with any machine learning library and for a variety of tasks, it allows you to assess differences in model performance through easy comparisons of code, hyperparameters, and metrics. From training to deployment, you can keep a close watch on your models, receiving alerts when issues arise so you can troubleshoot effectively. This solution fosters increased productivity, enhanced collaboration, and greater transparency among data scientists, their teams, and even business stakeholders, ultimately driving better decision-making across the organization. Additionally, the ability to visualize model performance trends can greatly aid in understanding long-term project impacts.
Pricing
Price Starts At:
$179 per user per month
Free Version:
Free Version available.
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Company Facts
Company Name:
Comet
Date Founded:
2017
Company Location:
United States
Company Website:
www.comet.com/site/products/llmops/
Product Details
Deployment
SaaS
On-Prem
Training Options
Documentation Hub
Online Training
Video Library
Support
Web-Based Support
Product Details
Target Company Sizes
Individual
1-10
11-50
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Small Business
Enterprise
Freelance
Nonprofit
Government
Startup
Supported Languages
English
Comet Categories and Features
Machine Learning Software
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Deep Learning Software
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization