Computer Science and Programming
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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
Source Code: Github
🌟 Star the repo & share with your community!
🚀 LLaVA-FastVLM: One-Click Visual Language API
One-click web interface for Apple's FastVLM vision models
🔗 Source: Github
✅ @MachineLearning_Programming
🚀 LLaVA-FastVLM: One-Click Visual Language API
One-click web interface for Apple's FastVLM vision models
🔗 Source: Github
✅ @MachineLearning_Programming
🚀 LLaVA-FastVLM: One-Click Visual Language API
One-click web interface for Apple's FastVLM vision models
🔗 Source: Github
✅ @MachineLearning_Programming
Repost from Artificial Intelligence && Deep Learning
🚀 Introducing: High-Resolution Facial Landmark Detection! 🎯
🔗 Source: Github
🌟 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
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
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
🚨 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!
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💡 Transform Your Career with our Expert Training!
🎯 Share with fellow ML Enthusiasts and future tech leaders!
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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
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!
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!
📚 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.
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2️⃣ Deep Learning Interactive Book
◀️ Learn deep learning concepts by combining text, math, code, and images.
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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
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5️⃣ Machine Learning Interview Guide
◀️ Fully prepared for job interviews
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6️⃣ Real-world machine learning projects
◀️ Learning how to build and deploy models.
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7️⃣ Designing machine learning systems
◀️ How to design a scalable and stable ML system.
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8️⃣ Machine Learning Mathematics
◀️ Basic mathematical concepts necessary to understand machine learning.
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9️⃣ Introduction to Statistical Learning
◀️ Learn algorithms with practical examples.
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1️⃣ Machine learning with a probabilistic approach
◀️ Better understanding modeling and uncertainty with a statistical perspective.
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1️⃣ UBC Machine Learning
◀️ Deep understanding of machine learning concepts with conceptual teaching from one of the leading professors in the field of ML,
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1️⃣ Deep Learning with Andrew Ng
◀️ A strong start in the world of neural networks, CNNs and RNNs.
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1️⃣ Linear Algebra with 3Blue1Brown
◀️ Intuitive and visual teaching of linear algebra concepts.
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🔴 Machine Learning Course
◀️ A combination of theory and practical training to strengthen ML skills.
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1️⃣ Mathematical Optimization with Python
◀️ You will learn the basic concepts of optimization with Python code.
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1️⃣ Explainable models in machine learning
◀️ Making complex models understandable.
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⚫️ Data Analysis with Python
◀️ Data analysis skills using Pandas and NumPy libraries.
✅ @MachineLearning_Programming
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
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
🧠 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
🚀 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.
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💡 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!
اکنون در دسترس! پژوهش تلگرام ۲۰۲۵ — مهمترین بینشهای سال 
