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Source channel @githubtrending · Post #15271 · Nov 5

#cplusplus#arm#baidu#deep_learning#embedded#fpga#mali#mdl#mobile#mobile_deep_learning#neural_network Paddle Lite is a lightweight, high-performance deep learning inference framework designed to run AI models efficiently on mobile, embedded, and edge devices. It supports multiple platforms like Android, iOS, Linux, Windows, and macOS, and languages including C++, Java, and Python. You can easily convert models from other frameworks to PaddlePaddle format, optimize them for faster and smaller deployment, and run them with ready-made examples. This helps you deploy AI applications quickly on various devices with low memory use and fast speed, making it ideal for real-time, resource-limited environments. It also supports many hardware accelerators for better performance. https://github.com/PaddlePaddle/Paddle-Lite

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@githubtrending · Post #15206 · 10/09/2025, 01:00 PM

#javascript#3d#blockbench#electron#hytale#low_poly#minecraft#pixel_art Blockbench is a free, easy-to-use program for making low-poly 3D models with pixel art textures, perfect for beginners but also packed with advanced tools for experts[1]. You can paint and edit textures right inside the program, create animations, and export your models for games, 3D printing, or sharing online—including special formats for Minecraft Java and Bedrock Edition[1][3]. The interface is modern and customizable, and you can add even more features with plugins[1]. Since Blockbench is open source, you can use, change, and share it freely, and anything you create belongs to you[1]. This makes it a powerful, flexible tool for anyone interested in 3D modeling, especially for game design and Minecraft content creation. https://github.com/JannisX11/blockbench