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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

ConvNetJS is a Javascript library for training deep learning models (neural networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. The library allows you to formulate and solve neural networks in Javascript, and was originally written by @karpathy. However, the library has since been extended by contributions from the community and more are warmly welcome. The fastest way to obtain the library in a plug-and-play way if you don't care about developing is through this link to convnet-min.js, which contains the minified library. Alternatively, you can also choose to download the latest release of the library from Github. The file you are probably most interested in is build/convnet-min.js, which contains the entire library. To use it, create a bare-bones index.html file in some folder and copy build/convnet-min.js to the same folder.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

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

Audience

Developers, professionals and researchers seeking a solution for training deep learning models

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$179 per user per month
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

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

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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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Comet
Founded: 2017
United States
www.comet.com

Company Information

ConvNetJS
cs.stanford.edu/people/karpathy/convnetjs/

Alternatives

Alternatives

Keepsake

Keepsake

Replicate
Deci

Deci

Deci AI

Categories

Categories

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

Integrations

Amazon Web Services (AWS)
Apache Spark
Axolotl
Clone Protocol
CogniSync
Flask
Google Cloud Platform
IBM Cloud
Ludwig
Microsoft Azure
New Relic
PyTorch
Python
Qwen3-Omni
ScalePad Backup Radar
Seldon
TensorFlow
Weaviate
ZenML
lemwarm

Integrations

Amazon Web Services (AWS)
Apache Spark
Axolotl
Clone Protocol
CogniSync
Flask
Google Cloud Platform
IBM Cloud
Ludwig
Microsoft Azure
New Relic
PyTorch
Python
Qwen3-Omni
ScalePad Backup Radar
Seldon
TensorFlow
Weaviate
ZenML
lemwarm
Claim Comet and update features and information
Claim Comet and update features and information
Claim ConvNetJS and update features and information
Claim ConvNetJS and update features and information