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Source channel @githubtrending · Post #14686 · May 8

#python#asr#deeplearning#generative_ai#large_language_models#machine_translation#multimodal#neural_networks#speaker_diariazation#speaker_recognition#speech_synthesis#speech_translation#tts NVIDIA NeMo is a powerful, easy-to-use platform for building, customizing, and deploying generative AI models like large language models (LLMs), vision language models, and speech AI. It lets you quickly train and fine-tune models using pre-built code and checkpoints, supports the latest model architectures, and works on cloud, data center, or edge environments. NeMo 2.0 is even more flexible and scalable, with Python-based configuration and modular design, making it simple to experiment and scale up. The main benefit is that you can create advanced AI applications faster, with less effort, and at lower cost, while getting high performance and easy deployment options[1][2][3]. https://github.com/NVIDIA/NeMo

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Functional Store Hub - 不止于脚本

@functional_store_hub · Post #81 · 09/25/2022, 02:53 AM

Sing-Box 新兴的多端代理工具,便捷搭建多种协议代理 #代理工具#Sing-Box #Shadowtls ——————————————— ▎视频教程: https://www.youtube.com/watch?v=o-IFEu4GENE ▎仓库地址:https://github.com/SagerNet/sing-box ▎技术文档:https://sing-box.sagernet.org 注:教程为不良林演示使用sing-box搭建shadowtls节点,突破sni白名单地区限制 ——————————————— 🍟频道: Functional Store Hub 🍔群组: Functional Store Hub讨论

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@githubtrending · Post #15514 · 02/21/2026, 11:30 AM

#dart#clash#clashmeta#ech#hysteria#hysteria2#proxy#reality#shadowsocks#shadowtls#sing_box#singbox#ssh#tuic#v2ray#vless#vmess#wireguard#xray Hiddify is a free, ad-free, open-source proxy VPN app for Android, iOS, Windows, macOS, and Linux. It uses Sing-box to support protocols like Vless, Reality, Hysteria, TUIC, WireGuard, and SSH, with auto node selection by delay, subscription updates, TUN mode, and traffic info. Download from app stores or GitHub. It benefits you by providing secure, fast, private internet access to bypass restrictions in places like Iran or China, ensuring unrestricted browsing without costs or ads. https://github.com/hiddify/hiddify-app