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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.

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.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

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

Audience

Companies looking for an open source deep learning training platform that makes building models fast and easy

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$179 per user per month
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

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 Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Comet
Founded: 2017
United States
www.comet.com

Company Information

Determined AI
United States
www.determined.ai/

Alternatives

Alternatives

Ray

Ray

Anyscale
Keepsake

Keepsake

Replicate

Categories

Data Science Supported
Deep Learning Supported
LLM Evaluation Supported
Machine Learning Supported

Categories

Deep Learning Features

Convolutional Neural Networks Not Supported
Document Classification Not Supported
Image Segmentation Not Supported
ML Algorithm Library Supported
Model Training Supported
Neural Network Modeling Not Supported
Self-Learning Not Supported
Visualization Supported

Machine Learning Features

Deep Learning Supported
ML Algorithm Library Supported
Model Training Supported
Natural Language Processing (NLP) Supported
Predictive Modeling Not Supported
Statistical / Mathematical Tools Not Supported
Templates Not Supported
Visualization Supported

Integrations

Amazon SageMaker Supported
Amazon Web Services (AWS) Supported
Apache Spark Supported
Google Cloud Platform Supported
Seldon Supported
TensorFlow Supported
Axolotl Supported
Clone Protocol Supported
Flask Supported
Hadoop Not Supported
IBM Cloud Supported
MLflow Not Supported
Microsoft Azure Supported
New Relic Supported
Pachyderm Not Supported
PyTorch Supported
Python Supported
ScalePad Backup Radar Supported
ZenML Supported
lemwarm Supported

Integrations

Amazon SageMaker Supported
Amazon Web Services (AWS) Supported
Apache Spark Supported
Google Cloud Platform Supported
Seldon Supported
TensorFlow Supported
Axolotl Not Supported
Clone Protocol Not Supported
Flask Not Supported
Hadoop Supported
IBM Cloud Not Supported
MLflow Supported
Microsoft Azure Not Supported
New Relic Not Supported
Pachyderm Supported
PyTorch Not Supported
Python Not Supported
ScalePad Backup Radar Not Supported
ZenML Not Supported
lemwarm Not Supported
Claim Comet and update features and information
Claim Comet and update features and information
Claim Determined AI and update features and information
Claim Determined AI and update features and information