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Computer Science and Programming

Computer Science and Programming

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Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers * Related Courses and Ebooks With advertising offers contact:

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📈 Аналитический обзор Telegram-канала Computer Science and Programming

Канал Computer Science and Programming (@machinelearning_programming) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 14 500 подписчиков, занимая 8 595 место в категории Технологии и приложения и 28 001 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 14 500 подписчиков.

Согласно последним данным от 26 августа, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -117, а за последние 24 часа — -10, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 9.99%. В первые 24 часа после публикации контент обычно набирает N/A% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 0 просмотров. В течение первых суток публикация набирает 0 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 0.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как learning, github, engineer, quantization, detection.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers * Related Courses and Ebooks With advertising offers contact:

Благодаря высокой частоте обновлений (последние данные получены 27 августа, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

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NanoSAM is a Segment Anything (SAM) model variant that is capable of running in 🔥 real-time 🔥 on NVIDIA Jetson Orin Platforms with NVIDIA TensorRT. source code:https://github.com/NVIDIA-AI-IOT/nanosam Note: source code includes 👍 Usage - ⏱ Performance - 🛠 Setup - 🤸 Examples - 🏋️ Training - 🧐 Evaluation - 👏 Acknowledgment - 🔗 See also join us: @MachineLearning_Programming

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Elevate Your YouTube Experience with Eightify Discover the essential insights from extensive YouTube videos in moments, with the innovative Eightify app. Streamline Your Learning Journey - Available Now eightify.app/dl Bid farewell to the tedium of sifting through protracted YouTube videos exceeding one hour. Stay abreast of the latest news and trends effortlessly and in a fraction of the time! The Eightify Advantage: Versatile Compatibility: Efficiently condenses videos of any duration, even those extending up to 32 hours. Rapid Synopsis Generation: Remarkably swift, providing quality summaries in an average time of just 8 seconds. Cutting-Edge Quality: Leverages the advanced capabilities of ChatGPT, combined with proprietary technology, to offer superior quality summaries. Upgrade to a smarter viewing experience with Eightify.

📢 FREE TRAINING: Master MLOps for ML deployment and operations! 🚀 🔥 Join our FREE MLOps course demo and gain invaluable sk
📢 FREE TRAINING: Master MLOps for ML deployment and operations! 🚀 🔥 Join our FREE MLOps course demo and gain invaluable skills for AI and data science. 🚀 👉 Reserve your seat now: https://bit.ly/mlops-free-training 🌟 What you'll gain: 1️⃣ ML model deployment techniques. 2️⃣ Efficient data management insights. 3️⃣ Explore latest MLOps tools. 4️⃣ Real-time interaction with expert instructors. 🚩 Limited spots available! Don't miss out! 👉 Enroll now: https://bit.ly/mlops-free-training 👥 Share with fellow ML enthusiasts! 🚀✨

The impact of AI can often be underestimated at first glance. The changes it brings accumulate subtly, but their realization
The impact of AI can often be underestimated at first glance. The changes it brings accumulate subtly, but their realization happens in leaps. Let us show you how profoundly people's lives can transform through AI. Take a leap in your own productivity and quality of life: unleash the full power of future on the PromptsIdeas marketplace. ✅ Thousands of prompts for all popular AI models ❗️ Midjourney, ChatGPT, Stable Diffusion, Leonardo, Bard, and DALL-E 🎁 Free prompts 💲 Prices ranging from $0.99 to $9.99 ➡️ Anyone can buy or sell their own prompts. Crafted an amazing prompt? Earn from it by selling on PromptsIdeas! Want to boost your productivity and speed up your workflow tenfold? Buy a prompt for a dollar and acquire a game-changing tool that ensures success by the million! 🎨 Whether you're a writer, designer, or just someone looking to explore their creative side, PromptsIdeas has you covered. P.S. Want to know about an Easy Way to Win $5? Find out the conditions here.

"If someone edits your photo with AI or Photoshop to create a nude photo, then you go to https://www.stopncii.org/ and submit
"If someone edits your photo with AI or Photoshop to create a nude photo, then you go to https://www.stopncii.org/ and submit the original photo and the edited photo, then they will remove the edited photo from all the places on the Internet. You don't need to talk directly to anyone for this. Your identity will remain confidential. If someone has made your picture viral like this, immediately inform the cyber security team, file a case with them and take immediate action " join us: @MachineLearning_Programming

Stanford University has just opened full access to CS224U. One of their immensely popular graduate-level Natural Language Und
Stanford University has just opened full access to CS224U. One of their immensely popular graduate-level Natural Language Understanding course taught by Professor Christopher Potts. GitHub: https://github.com/cgpotts/cs224u YouTube: https://youtube.com/playlist?list=PLoROMvodv4rOwvldxftJTmoR3kRcWkJBp @deeplearning_ai

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mlops_masterclass_august_2023.pdf5.70 MB

MLOps Masterclass 🔥50% OFF on registration 🏆 Unlock your full potential with MLOps Masterclass Learn to Design ML Pipelines
MLOps Masterclass 🔥50% OFF on registration 🏆 Unlock your full potential with MLOps Masterclass Learn to Design ML Pipelines to Build, Train,Deploy and Monitor your Machine learning models in a real-time production environment. Register Now👇 https://bit.ly/mlops-masterclass-aug Why you shouldn't miss this Masterclass? ✔️ 15+ hands-on exercises. ✔️ 2 Real-life industry projects. ✔️Dedicated mentoring sessions from industry experts. ✔️ 10 hours session consisting of theory + Hands-on. ✔️One-on-One Debugging Session (Optional) Schedule: August 12th (Sat) & 13th (Sun) Highlights of this Masterclass: ▪️MLOps Introduction ▪️Getting started with AWS for Machine Learning ▪️AWS SageMaker Studio ▪️CI/CD Tools ▪️AWS MLOps Tools ▪️AWS MLOps - Build, Train & deploy ML Model 🔥 Limited Seats Available! ☎️ Contact: Sarath Kumar +918940876397 / +918778033930

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Segment Anything in High Quality We propose HQ-SAM to upgrade SAM for high-quality zero-shot segmentation. Refer to our paper
Segment Anything in High Quality We propose HQ-SAM to upgrade SAM for high-quality zero-shot segmentation. Refer to our paper for more details. Our code and models will be released in two weeks. Stay tuned! https://github.com/syscv/sam-hq @deeplearning_ai

📢 FREE TRAINING: Master MLOps for ML deployment and operations! 🚀 🔥 Join our FREE MLOps course demo and gain invaluable sk
📢 FREE TRAINING: Master MLOps for ML deployment and operations! 🚀 🔥 Join our FREE MLOps course demo and gain invaluable skills for AI and data science. 🚀 👉 Reserve your seat now: https://bit.ly/mlops-program 🌟 What you'll gain: 1️⃣ ML model deployment techniques. 2️⃣ Efficient data management insights. 3️⃣ Explore latest MLOps tools. 4️⃣ Real-time interaction with expert instructors. 🚩 Limited spots available! Don't miss out! 👉 Enroll now: https://bit.ly/mlops-program 👥 Share with fellow ML enthusiasts! 🚀✨

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ImageBind: One Embedding Space To Bind Them All. PyTorch implementation and pretrained models for ImageBind. For details, see the paper: ImageBind: One Embedding Space To Bind Them All. ImageBind learns a joint embedding across six different modalities - images, text, audio, depth, thermal, and IMU data. It enables novel emergent applications ‘out-of-the-box’ including cross-modal retrieval, composing modalities with arithmetic, cross-modal detection and generation. Source code: https://github.com/facebookresearch/imagebind Paper: https://arxiv.org/pdf/2305.05665v1.pdf @deeplearning_ai

Machine Learning Operations (MLOps) Masterclass 🏆 Unlock your full potential with MLOps Masterclass Learn to Design ML Pipel
Machine Learning Operations (MLOps) Masterclass 🏆 Unlock your full potential with MLOps Masterclass Learn to Design ML Pipelines to Build, Train,Deploy and Monitor your Machine learning models in a real-time production environment. Register Now👇 https://bit.ly/MLOps-masterclass Why you shouldn't miss this Masterclass? ✔️ 15+ hands-on exercises. ✔️ 2 Real-life industry projects. ✔️Dedicated mentoring sessions from industry experts. ✔️ 10 hours session consisting of theory + Hands-on. ✔️One-on-One Debugging Session (Optional) 👨‍💼 Who Should Attend? 👩‍💼 This masterclass is perfect for Data scientists, ML engineers, Software engineers, and DevOps professionals. Schedule: May 27th (Sat) & 28th (Sun) Highlights of this Masterclass: ▪️MLOps Introduction ▪️Getting started with AWS for Machine Learning ▪️AWS SageMaker Studio ▪️CI/CD Tools ▪️AWS MLOps Tools ▪️AWS MLOps - Build, Train & deploy ML Model 🔥 Limited Seats Available! ☎️ Contact: Sarath Kumar +918940876397 / +918778033930

"A panda is playing guitar on times square" Text2Video-Zero Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators Paper: https://arxiv.org/abs/2303.13439 Video Result: video result link Source code: https://github.com/picsart-ai-research/text2video-zero join us: @MachineLearning_Programming

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