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What is ConvNetJS?

ConvNetJS is a JavaScript library crafted for the purpose of training deep learning models, particularly neural networks, right within your web browser. You can initiate the training process with just a simple tab open, eliminating the need for any software installations, compilers, or GPU resources, making it incredibly user-friendly. The library empowers users to construct and deploy neural networks utilizing JavaScript and was originally created by @karpathy; however, it has been significantly improved thanks to contributions from the community, which are highly welcomed. For those seeking a straightforward method to access the library without diving into development intricacies, a minified version can be downloaded via the link to convnet-min.js. Alternatively, users have the option to acquire the latest iteration from GitHub, where you would typically look for the file build/convnet-min.js, which comprises the entire library. To kick things off, you just need to set up a basic index.html file in a chosen folder and ensure that build/convnet-min.js is placed in the same directory, allowing you to start exploring deep learning within your browser seamlessly. This easy-to-follow approach opens the door for anyone, regardless of their level of technical expertise, to interact with neural networks with minimal effort and maximum enjoyment.

What is AppGet?

AppGet is a community-driven package manager that operates through GitHub, prioritizing security, automation, and ease of use. The entire process of moderation takes place on GitHub, enabling anyone to suggest modifications via pull requests that are carefully examined and sanctioned by our committed team. Users can easily install, update, or remove any application found in our vast library, no matter how it was initially acquired. Both the client software and the application repository are entirely open source and available on GitHub for public scrutiny. Our dedicated AppGet bots work continuously to ensure that our library is filled with the latest software releases. Each application hosted in AppGet's repository comes directly from its original creators, removing the need for users to hunt for download links across the internet. Moreover, AppGet utilizes metadata-only manifest files to streamline the review process for manifests and enhance security protocols. This unwavering dedication to transparency and safety positions AppGet as a trustworthy option for software management, making it a preferred tool for developers and users alike. By fostering an open environment, AppGet not only builds a robust package management system but also encourages community engagement and contribution.

Media

Media

Integrations Supported

Dropbox
GitHub
Slack
Zeplin

Integrations Supported

Dropbox
GitHub
Slack
Zeplin

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

ConvNetJS

Company Website

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

Company Facts

Organization Name

AppGet

Company Location

Canada

Company Website

appget.net

Categories and Features

Deep Learning

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

Categories and Features

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