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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

An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.

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 Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises 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

Organizations interested in a powerful open source machine learning platform

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 Supported

Screenshots and Videos

Screenshots and Videos

Pricing

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

Pricing

Free
Free Version 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 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • TensorFlow is awesome for learning and executing machine learning, machine learning models, applications, and more. It's free and open source, and easy to get started.

Cons

  • Not much I don't like about TensorFlow. It's free and open source so how can you dislike it?

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

TensorFlow
Founded: 2015
United States
www.tensorflow.org

Alternatives

Alternatives

Keepsake

Keepsake

Replicate

Categories

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

Categories

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

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

Integrations

Keras Supported
Python Supported
Ultralytics Supported
ZenML Supported
Amazon EC2 P4 Instances Not Supported
Amazon EC2 Trn1 Instances Not Supported
Amazon EC2 Trn2 Instances Not Supported
Cyfuture Cloud Not Supported
EdgeCortix Not Supported
GPUonCLOUD Not Supported
Gemini Enterprise Agent Platform Notebooks Not Supported
Joget DX Not Supported
Jovian Not Supported
MLflow Not Supported
NVIDIA NGC Not Supported
NeevCloud Not Supported
PyTorch Supported
SiMa Not Supported
Simplismart Not Supported
Universal Sentence Encoder Not Supported

Integrations

Keras Supported
Python Supported
Ultralytics Supported
ZenML Supported
Amazon EC2 P4 Instances Supported
Amazon EC2 Trn1 Instances Supported
Amazon EC2 Trn2 Instances Supported
Cyfuture Cloud Supported
EdgeCortix Supported
GPUonCLOUD Supported
Gemini Enterprise Agent Platform Notebooks Supported
Joget DX Supported
Jovian Supported
MLflow Supported
NVIDIA NGC Supported
NeevCloud Supported
PyTorch Not Supported
SiMa Supported
Simplismart Supported
Universal Sentence Encoder Supported
Claim Comet and update features and information
Claim Comet and update features and information
Claim TensorFlow and update features and information
Claim TensorFlow and update features and information