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Source channel @githubtrending · Post #15239 · Oct 21

#python#artificial_intelligence#cloud_ml#computer_systems#courseware#deep_learning#edge_machine_learning#embedded_ml#machine_learning#machine_learning_systems#mobile_ml#textbook#tinyml You can learn how to build real-world AI systems from start to finish with an open-source textbook originally from Harvard University. It teaches you not just how to train AI models but how to design scalable systems, manage data pipelines, deploy models in production, monitor them continuously, and optimize for devices like phones or IoT gadgets. This helps you become an engineer who can create efficient, reliable, and sustainable AI systems that work well in practice. The book offers hands-on labs, community support, and free online access, making it easier to gain practical skills in machine learning systems engineering. https://github.com/harvard-edge/cs249r_book

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@githubtrending · Post #14898 · 07/02/2025, 01:30 PM

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#javascript#3d#augmented_reality#canvas#html5#javascript#svg#virtual_reality#webaudio#webgl#webgl2#webgpu#webxr Three.js is a powerful and easy-to-use JavaScript library that helps you create 3D graphics and animations on the web with much less code than using WebGL directly. It handles complex tasks like rendering and math calculations, so you can focus on designing your 3D scenes. It supports WebGL and WebGPU, with additional options like SVG and CSS3D. Three.js has excellent documentation, many examples, and a large, active community that provides support and updates. This makes it ideal for quickly building interactive 3D content that works across browsers, improving your web projects with engaging visuals and smooth performance[1][3][5]. https://github.com/mrdoob/three.js

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#javascript #3d #augmented_reality #canvas #html5 #svg #virtual_reality #webaudio #webgl #webgl2 #webgpu #webxr