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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 #15454 · 01/31/2026, 03:30 PM

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#javascript#atari_lynx#atari2600#atari7800#ds#emulation#emulator#emulatorjs#gameboy#n64#nes#nintendo#nintendo_game_boy#playstation#retroarch#retroarch_wasm#sega_cd#sega_mega_drive#sega_saturn#snes#virtualboy EmulatorJS is a free, open-source web-based emulator that lets you play classic games from Nintendo, Sega, Atari, and other systems directly in your browser without downloading software. It offers save states to resume games where you left off, customizable controls for keyboards and gamepads, and screen recording to share gameplay. The emulator runs entirely in your browser using JavaScript, supports multiple languages, and can be easily embedded into websites. You benefit from instant access to retro gaming across devices, no installation required, and the ability to build your own self-hosted gaming collection. https://github.com/EmulatorJS/EmulatorJS