ConvNetJS vs react-three-fiber
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Detailed Comparison
It is a Javascript library for training Deep Learning models (Neural Networks) entirely in your browser. Open a tab and you're training. No software requirements, no compilers, no installations, no GPUs, no sweat. | It is a React renderer for Threejs on the web and react-native. Rendering performance is up to Threejs and the GPU. Components participate in the renderloop outside of React, without any additional overhead. |
Formulate and solve Neural Networks in Javascript;Training Deep Learning models (Neural Networks) entirely in your browser; No compilers, No installations; | React renderer for Three.js; Web and react-native |
Statistics | |
GitHub Stars 11.1K | GitHub Stars - |
GitHub Forks 2.1K | GitHub Forks - |
Stacks 19 | Stacks 52 |
Followers 22 | Followers 46 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to ConvNetJS, react-three-fiber?
Underscore
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Deno
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Godot
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Chart.js
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Unreal Engine
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Gamemaker Studio 2
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Immutable.js
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Panda3D
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pygame
It is a cross-platform set of Python modules designed for writing video games. It includes computer graphics and sound libraries designed to be used with the Python programming language.
