tracking.js
Synaptic.js
tracking.js | Synaptic.js | |
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3 | 2 | |
9,418 | 6,911 | |
- | - | |
0.0 | 0.0 | |
11 months ago | over 3 years ago | |
JavaScript | JavaScript | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tracking.js
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JavaScript Libraries for Implementing Trendy Technologies in Web Apps in 2024
Tracking.js
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Detect Pixel Color of Image
Did a quick research, and found trackerjs... According to your description, seems like what you need
- 🚀10 Trending projects on GitHub for web developers - 30th July 2021
Synaptic.js
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JavaScript Libraries for Implementing Trendy Technologies in Web Apps in 2024
Synaptic.js
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Why do people curse JS so much, but also say it's better than Python
Synaptic: This is a library for building and training neural networks in JavaScript. It provides a flexible and modular architecture for building feedforward and recurrent networks.
What are some alternatives?
ocrad.js - OCR in Javascript via Emscripten
Brain.js - Simple feed-forward neural network in JavaScript
ConvNetJS - Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
Keras.js - Run Keras models in the browser, with GPU support using WebGL
Tesseract.js - Pure Javascript OCR for more than 100 Languages 📖🎉🖥
Mind.js - A neural network library built in JavaScript
DN2A - Dynamic Neural Networks Architect
natural - general natural language facilities for node
limdu - Machine-learning for Node.js
netron - Visualizer for neural network, deep learning and machine learning models
WebDNN - The Fastest DNN Running Framework on Web Browser
Synapses - A group of neural-network libraries for functional and mainstream languages