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Average Ratings 0 Ratings

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features
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support

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Description

ConvNetJS is a JavaScript library designed for training deep learning models, specifically neural networks, directly in your web browser. With just a simple tab open, you can start the training process without needing any software installations, compilers, or even GPUs—it's that hassle-free. The library enables users to create and implement neural networks using JavaScript and was initially developed by @karpathy, but it has since been enhanced through community contributions, which are greatly encouraged. For those who want a quick and easy way to access the library without delving into development, you can download the minified version via the link to convnet-min.js. Alternatively, you can opt to get the latest version from GitHub, where the file you'll likely want is build/convnet-min.js, which includes the complete library. To get started, simply create a basic index.html file in a designated folder and place build/convnet-min.js in the same directory to begin experimenting with deep learning in your browser. This approach allows anyone, regardless of their technical background, to engage with neural networks effortlessly.

Description

Meshpage.org's gameapi builder makes it easy to add 3d models to your website. You can perform initial tests with the 3d Model Viewer to see if your 3d model is compatible with our 3d engine. Then, gltf-to-html5 zip converter allows you to create a zip file that can be uncompressed on your hosting space. A 3d engine will display the 3d model once you open index.html. By adding embed tag and a link to display.html, you can place the 3d models as part of an article. The last remaining tool GameApi Builder offers 600 different features for positioning and animating the 3d model according to your preferences.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Android No 
Chromium No 
Docker No 
Mozilla Firefox No 
Qwen3-Omni Yes 
Sketchfab No 
Ubuntu No 
WebAssembly No 

Integrations

Android Yes 
Chromium Yes 
Docker Yes 
Mozilla Firefox Yes 
Qwen3-Omni No 
Sketchfab Yes 
Ubuntu Yes 
WebAssembly Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$120
download available for free, but licenses available separately for companies that need them
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

ConvNetJS

Website

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

Vendor Details

Company Name

Meshpage.org

Founded

2012

Country

Finland

Website

meshpage.org

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization No 

Product Features

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