Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
HTML and JavaScript can generate a multitude of output formats. With templating engines that facilitate dynamic layouts, along with custom JavaScript hooks for data retrieval, the system fully embraces the latest advancements in CSS and JavaScript. jsreport offers a web-based design interface; all you need is a modern browser to start crafting your reports. The platform also features options for scheduling, versioning of templates, importing and exporting data, creating backups, managing sub-reports, and overseeing user accounts. It boasts comprehensive support for JavaScript alongside virtually every charting library, ensuring there are no restrictions. Moreover, with full compatibility for the newest CSS standards, even novice developers can create report designs with ease. You can prepare an XLSX template using desktop Excel, and then simply utilize HTML and CSS to populate it seamlessly. This flexibility empowers users to create tailored reports effortlessly.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Qwen3-Omni
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
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
No
Mac
No
Linux
No
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
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
ConvNetJS
Website
cs.stanford.edu/people/karpathy/convnetjs/
Vendor Details
Company Name
jsreport
Founded
2014
Country
Czech Republic
Website
jsreport.net
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
Business Intelligence
Ad Hoc Reports
No
Benchmarking
No
Budgeting & Forecasting
No
Dashboard
No
Data Analysis
No
Key Performance Indicators
No
Natural Language Generation (NLG)
No
Performance Metrics
No
Predictive Analytics
No
Profitability Analysis
No
Strategic Planning
No
Trend / Problem Indicators
No
Visual Analytics
No
Reporting
Customizable Dashboard
Yes
Data Source Connectors
Yes
Drag & Drop
No
Drill Down
Yes
Email Reports
No
Financial Reports
Yes
Forecasting
Yes
Marketing Reports
Yes
OLAP
No
Report Export
Yes
Sales Reports
Yes
Scheduled / Automated Reports
Yes