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Description
AppGet is an open-source package manager moderated by GitHub that emphasizes security, automation, and user-friendliness. All moderation processes are conducted through GitHub, allowing anyone to submit a pull request that is subsequently reviewed and approved by our dedicated team. Users can install, update, and remove any application found in our library, even those not initially installed via AppGet. Both our client code and application library are fully open-source and accessible on GitHub. Our AppGet bots tirelessly operate around the clock to ensure our application library remains current with the latest software versions. Applications listed in AppGet's library are always sourced directly from the original authors, eliminating the hassle of searching the internet for download links. Furthermore, AppGet employs metadata-only manifest files, streamlining the review process for manifests and enhancing overall security. This approach not only simplifies the workflow for users but also fosters a trustworthy environment for software management.
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.
API Access
Has API
API Access
Has API
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
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
AppGet
Country
Canada
Website
appget.net
Vendor Details
Company Name
ConvNetJS
Website
cs.stanford.edu/people/karpathy/convnetjs/
Product Features
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization