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:

India28 161 Tecnologías y Aplicaciones8 650...

📈 Análisis del canal de Telegram Computer Science and Programming

El canal Computer Science and Programming (@machinelearning_programming) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 14 503 suscriptores, ocupando la posición 8 650 en la categoría Tecnologías y Aplicaciones y el puesto 28 161 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 14 503 suscriptores.

Según los últimos datos del 25 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -111, y en las últimas 24 horas de 3, conservando un alto alcance.

Estado de verificación: No verificado
Tasa de interacción (ER): El promedio de interacción de la audiencia es 9.98%. Durante las primeras 24 horas tras publicar, el contenido suele obtener N/A% de reacciones respecto al total de suscriptores.
Alcance de las publicaciones: Cada publicación recibe en promedio 0 visualizaciones. En el primer día suele acumular 0 visualizaciones.
Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 0.
Intereses temáticos: El contenido se centra en temas clave como learning, github, engineer, quantization, detection.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“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:”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 26 agosto, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.

14 503

Suscriptores

+324 horas

-27 días

-11130 días

1 449

Visitas de la publicación

Sin datos24 horas

Sin datos48 horas

9.98%

Tasa de compromiso

Sin datos

Mensajes por día

Ads index

beta

Archivo de publicaciones

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🚀 Refactored HRNet Now Live! 🚀 🔥 Supercharge your computer vision projects with high-resolution HRNet models – fully refactored for easy training/testing! ✅ Multiple ImageNet-pretrained models ✅ Lightning-fast setup ✅ Top-tier accuracy 👉 Check it out & ⭐️ Star the repo if you find it useful! GitHub: Shohruh72/HRNet #AI #DeepLearning #OpenSource ✅ @MachineLearning_Programming

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Source Code: Github 🌟 Star the repo & share with your community!

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Source code: Github

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🚀 LLaVA-FastVLM: One-Click Visual Language API One-click web interface for Apple's FastVLM vision models 🔗 Source: Github ✅ @MachineLearning_Programming

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🚀 LLaVA-FastVLM: One-Click Visual Language API One-click web interface for Apple's FastVLM vision models 🔗 Source: Github ✅ @MachineLearning_Programming

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🚀 LLaVA-FastVLM: One-Click Visual Language API One-click web interface for Apple's FastVLM vision models 🔗 Source: Github ✅ @MachineLearning_Programming

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Repost from Artificial Intelligence && Deep Learning

🚀 Introducing: High-Resolution Facial Landmark Detection! 🎯 🔗 Source: Github

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🌟 SmolVLM Realtime Inference UI On-device vision–language in your browser—webcam, video & image. Zero-config HTML/JS powered by llama.cpp. 🚀 Try it: https://github.com/Shohruh72/SmolVLM-UI Join my channel: 👇👇👇👇👇👇 @Deeplearning_ai

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Repost from Artificial Intelligence && Deep Learning

🚀 Introducing: Face Landmark Auto-Labeling Toolkit 🧠 📌 The Ultimate Tool for Facial Landmark Detection & Dataset Creatio Tired of manually annotating facial landmarks? Here's a deep learning-powered desktop app that will change your workflow forever! 🔧 Key Features: ✅ 68-point facial landmark detection (PIPNet + ONNX) ✅ Modern GUI with theme support (Tkinter + TTKBootstrap) ✅ Smart drag-and-drop editing ✅ Batch processing of entire folders ✅ Export as .json and .pts ✅ Real-time dataset statistics 📽️ See it in action: ▶️ Demo Video #1 ▶️ Demo Video #2 🌟 Star the repo & share with your community! 🔗 GitHub: https://github.com/Shohruh72/Landmark-Auto-Label https://github.com/Shohruh72 @deeplearning_ai

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FastVLM: Efficient Vision Encoding for Vision Language Models Code: https://github.com/apple/ml-fastvlm Paper: https://www.arxiv.org/abs/2412.13303 ✅ @MachineLearning_Programming

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mlops_specialization_course-1.pdf8.75 MB

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🚨 FREE MLOps TRAINING ALERT 🚨 💼 Earn up to ₹35.1 Lakhs/Year as a Certified MLOps Engineer! 🚀 Master MLOps & LLMOps on AWS, Azure, GCP, and Open-Source Tools! 🔥 LIMITED SPOTS – Act Fast! 📝 Secure Your Spot Now: https://www.eventbrite.com/e/mlops-specialization-course-demo-tickets-710123256777 💡 Transform Your Career with our Expert Training! 🎯 Share with fellow ML Enthusiasts and future tech leaders! #MLOps #AI #TechCareers #FreeTraining

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Repost from Artificial Intelligence && Deep Learning

🔗 SOURCE ❇️ CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models 🔥 Join my channel: 👇👇👇👇👇👇 @Deeplearning_ai

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Build Your Social Media Automation Agent What if you could create a month’s worth of social media content in just one hour? Our AI workshop shows you how Date: Thursday, 24th April at 9 PM IST Registration Link: https://lu.ma/08r6okdy?tk=TyIt92 This session is led by Satvik, founder of Build Fast With AI, an IIT Delhi graduate and AI expert who has trained over 10,000 people!

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Build Your Social Media Automation Agent The secret weapon behind viral creators? AI automation. Build yours in our hands-on workshop. Date: Thursday, 24th April at 9 PM IST Registeration Link: https://lu.ma/08r6okdy?tk=TyIt92 This session is led by Satvik, founder of Build Fast With AI, an IIT Delhi graduate and AI expert who has trained over 10,000 people!

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📚 Become a professional data scientist with these 17 resources! 1️⃣ Python libraries for machine learning ◀️ Introducing the best Python tools and packages for building ML models. ➖➖➖ 2️⃣ Deep Learning Interactive Book ◀️ Learn deep learning concepts by combining text, math, code, and images. ➖➖➖ 3️⃣ Anthology of Data Science Learning Resources ◀️ The best courses, books, and tools for learning data science. ➖➖➖ 4️⃣ Implementing algorithms from scratch ◀️ Coding popular ML algorithms from scratch ➖➖➖ 5️⃣ Machine Learning Interview Guide ◀️ Fully prepared for job interviews ➖➖➖ 6️⃣ Real-world machine learning projects ◀️ Learning how to build and deploy models. ➖➖➖ 7️⃣ Designing machine learning systems ◀️ How to design a scalable and stable ML system. ➖➖➖ 8️⃣ Machine Learning Mathematics ◀️ Basic mathematical concepts necessary to understand machine learning. ➖➖➖ 9️⃣ Introduction to Statistical Learning ◀️ Learn algorithms with practical examples. ➖➖➖ 1️⃣ Machine learning with a probabilistic approach ◀️ Better understanding modeling and uncertainty with a statistical perspective. ➖➖➖ 1️⃣ UBC Machine Learning ◀️ Deep understanding of machine learning concepts with conceptual teaching from one of the leading professors in the field of ML, ➖➖➖ 1️⃣ Deep Learning with Andrew Ng ◀️ A strong start in the world of neural networks, CNNs and RNNs. ➖➖➖ 1️⃣ Linear Algebra with 3Blue1Brown ◀️ Intuitive and visual teaching of linear algebra concepts. ➖➖➖ 🔴 Machine Learning Course ◀️ A combination of theory and practical training to strengthen ML skills. ➖➖➖ 1️⃣ Mathematical Optimization with Python ◀️ You will learn the basic concepts of optimization with Python code. ➖➖➖ 1️⃣ Explainable models in machine learning ◀️ Making complex models understandable. ➖➖➖ ⚫️ Data Analysis with Python ◀️ Data analysis skills using Pandas and NumPy libraries. ✅ @MachineLearning_Programming

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Repost from Machine Learning with Python

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/Codeprogrammer

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🧠 VGGT: Visual Geometry Grounded Transformer ⚡️ Fast, accurate 3D scene understanding from just a few images — no post-processing needed! 🎯 Outputs: camera pose, depth, point cloud & 3D tracking 🔥 Boosts tasks like view synthesis & non-rigid tracking 📄 Read the paper 💻 Code on GitHub #AI #3D #Transformer #VGGT #ComputerVision ✅ @MachineLearning_Programming

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🚀 Generative AI is Taking Over – Will You Lead or Follow? 🚀 ⚠️ FREE TRAINING The AI revolution is here, and top companies are hiring for roles like AI Engineers, Gen AI Experts, and Generative AI Developers. Register Free Now: https://live.psitrontech.com 💡 What You’ll Learn: ✅ Master Gen AI on AWS, Azure and GCP ✅ Master GPT, Claude, LLaMA & Stable Diffusion ✅ Build AI-powered applications & AI Agents ✅ Stay ahead with LLMOps & AI strategies 🔥 High demand, low competition – Now is the time to upskill! ⏳ Opportunities like this don’t last forever!