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Computer Science and Programming

Computer Science and Programming

前往频道在 Telegram

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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📈 Telegram 频道 Computer Science and Programming 的分析概览

频道 Computer Science and Programming (@machinelearning_programming) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 14 503 名订阅者,在 技术与应用 类别中位列第 8 650,并在 印度 地区排名第 28 161

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 14 503 名订阅者。

根据 25 八月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 -111,过去 24 小时变化为 3,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 9.98%。内容发布后 24 小时内通常能获得 N/A% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 0 次浏览,首日通常累积 0 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 0
  • 主题关注点: 内容集中在 learning, github, engineer, quantization, detection 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
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:

凭借高频更新(最新数据采集于 26 八月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。

14 503
订阅者
+324 小时
-27
-11130
帖子存档
🚀 PIPNet: One-Click Facial Landmark Detection 🎯 🔗 GitHub: Star ⭐ the Repo | 🎥 Watch Dem 🔥 Key Features: ✅ One-Click Inference – Just run & detect! ✅ High Accuracy (300W dataset) 📊 ✅ ResNet-powered for robustness ✅ Supports training, testing & real-time demo 🎥 📌 Run Inference in One Click: python main.py --demo 📊 Performance: 🔹 ResNet101 (120 epochs) → 3.17 NME 🌟 Support Open Source! Star ⭐ & Share! 🔗 GitHub Repo #AI #DeepLearning #FacialRecognition #PIPNet #OneClickInference 🚀

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🌟FACE ID: Face Identification 🌟 Hello tech enthusiasts! 🚀 Our project leverages the power of ONNX Runtime to deliver high-accuracy face identification. 🎉 Check out our project and see it in action! 🔗 Visit our GitHub Repository: FACE ID We need your support to make this project even better! Here’s how you can help: ⭐️ Star our repository to show your appreciation and help us gain more visibility. #FaceRecognition #ONNX #AdaFace #GitHub #OpenSource #TechInnovation

🔥 WineWayLab – The FIRST Online Accelerator for WineTech Startups! 🔥 🚀 Passionate about Tech & Wine? Turn your idea into a
🔥 WineWayLab – The FIRST Online Accelerator for WineTech Startups! 🔥 🚀 Passionate about Tech & Wine? Turn your idea into a game-changing WineTech startup with WineWayLab – a FREE 2-month online accelerator! 🎯 Who can apply? ✅ Have just an idea? Welcome! ✅ Working on a project? Perfect! ✅ Have a prototype or MVP? Take it to the next level! 📢 What’s in it for you? 🔹 2 months of expert mentorship & startup development 🔹 Evening lectures & meetups with top industry leaders 🔹 Learn from: Investors, startup founders, wine experts & more! 📅 Apply by March 1, 2025 – Spots are LIMITED! 🌍 Last batch stats: 320+ applications from 14 countriesonly 60 spots! A strong motivation letter is KEY! ✨ Dream of launching a WineTech startup? This is your moment! 📌 APPLY NOW:REGISTER #WineTech #Startups #TechInnovation #Entrepreneurship #WineLovers

🚀 Whisper AI is Now on Telegram! 🎙 Turn any audio, video, or YouTube content into accurate transcripts, concise summaries, and smart task executions—all powered by GPT-4o and Claude Sonnet! 🌍 Supports 120+ languages ✅ 99% accuracy ⏱️ Processes up to 6+ hours of audio seamlessly 🔊 Say goodbye to manual transcription—Whisper AI does it for you! 👉 Try it now: [whisper]

🚀 The Future of Object Detection is Here! 🔍Achieve state-of-the-art results with just one line of code! 🔥 🎥 Live Demos & Code: GitHub Repo 📥 Pretrained Models: Ready for download—plug and play! ⭐️ Support innovation! Star the repo now 👉 GitHub Link 📢 Join our ML community: @MachineLearning_Programming #MachineLearning #AI #ObjectDetection #YOLO #OpenSource #DevCommunity #TechInnovation

🚨 FREE MLOps TRAINING ALERT 🚨 💼 Earn up to ₹35.1 Lakhs/Year as a Certified MLOps Engineer! 🚀 Master MLOps & LLMOps on AWS
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🧤 HaWoR: World-Space Ego 3D Hands 🧤 Introducing HaWoR: a state-of-the-art approach for 3D hand motion estimation in egocentric videos, developed by Imperial College (H/T Rolandos Alexandros Potamias). Achieving new SOTA in camera pose estimation and hand motion reconstruction, with code available under Attribution-NC-ND 4.0. 💙 Key Highlights: ✅ World-space 3D hand motion estimation ✅ Novel infiller net for hand motion reconstruction ✅ Reliable even with missing frames/occlusions ✅ Robust single-shot camera trajectory estimation 📄 Paper: arxiv.org/pdf/2501.02973 🌐 Project Page: Explore here 💻 Code: Access here 👉 Stay updated on AI/ML innovations! @MachineLearning_Programming

This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visua
This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visualization 4️⃣  Artificial Intelligence 5️⃣ Data Analysis 6️⃣ Statistics 7️⃣ Deep Learning 8️⃣ programming Languages ✅ https://t.me/addlist/8_rRW2scgfRhOTc0 ✅ https://t.me/Python53

Gaze-LLE 🔗 Discover More: * Source Code: GitHub * Paper Page: Gaze-LLE @MachineLearning_Programming

OminiControl: Minimal and Universal Control for Diffusion Transformer 🔗 Discover More: * Source Code: GitHub * Try Demo: Try
OminiControl: Minimal and Universal Control for Diffusion Transformer 🔗 Discover More: * Source Code: GitHub * Try Demo: Try it here * Paper Page: Read Paper @MachineLearning_Programming

DINO-X: A Unified Vision Model for Open-World Object Detection and Understanding 🔗 Discover More: * Source Code: GitHub * Project Page: DINO-X * Paper Page: DINO-X paper @MachineLearning_Programming