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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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Talabalarimiz "CanSat Uzbekistan - 2025" musobaqasida g'olib bo'lishdi 💥 "O'zbekkosmos" agentligi tashabbusi bilan o'tkazilgan CanSat musobaqasida 250 nafarga yaqin o'quvchi va talabalardan iborat 10 ta jamoa o'zlarining mikrosputniklarini balandlikka uchirdi. ✅ Kichik sputniklar havo harorati, masofa va bosim kabi ma'lumotlarni talabalar o'zlari ishlab chiqqan dasturga yubordi. ✨ Talabalarimiz yaratgan CanSat qurilmasi boshqalardan bir qancha tomonlama mukammalligi e'tirof etilib, musobaqa tashkilotchilari tomonidan faxrli 1-o'ringa munosib ko'rildi. ⚡️Talabalarimizni ushbu yutuq bilan tabriklaymiz va xalqara miqyosda o'tkazilishi rejalashtirilgan CanSat musobaqasida ham g'alaba qozonishlariga ishonamiz. 🔁English ➖➖➖➖➖➖➖➖➖➖ #CanSat#musobaqa ⬇️ Biz ijtimoiy tarmoqlarda: Veb-sayt | Telegram | Instagram | Facebook

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@githubtrending · Post #14878 · 06/28/2025, 02:00 PM

#cplusplus#arduino#cansat#csv#embedded#graph#ground_station#iot#microcontroller#network#projects#qt#serial#serial_studio Serial Studio is a free, easy-to-use tool that lets you visualize real-time data from devices like microcontrollers via serial ports, Bluetooth, or network connections. It works on Windows, macOS, and Linux, and offers customizable dashboards with various widgets to monitor sensor data, debug info, or telemetry. You can quickly plot data, export it as CSV for analysis, and even use advanced features like checksum validation and JavaScript data processing. It supports hobbyists, educators, and professionals by simplifying data monitoring and debugging, saving you time and effort in understanding your device’s output. Pro versions add commercial use and extra features[1][4][5]. https://github.com/Serial-Studio/Serial-Studio