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Average Ratings 0 Ratings

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ease
features
design
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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Android
Chromium
Docker
Mozilla Firefox
Qwen3-Omni
Sketchfab
Ubuntu
WebAssembly

Integrations

Android
Chromium
Docker
Mozilla Firefox
Qwen3-Omni
Sketchfab
Ubuntu
WebAssembly

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$120
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

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
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Product Features

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