Computer Science and Programming

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🎬 Live Portraits AI: Bring Photos to Life!

Transform any static portrait into a vivid animation—just one click.

✨ One-click animation
✨ Realistic facial movements
✨ Supports image & video input

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@MachineLearning_Programming

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

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✅ https://t.me/Codeprogrammer

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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!

Computer Science and Programming pinned a GIF

🚀 Introducing: High-Resolution Facial Landmark Detection! 🎯

🔗 Source: Github

Computer Science and Programming pinned a photo

🌟 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

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@Deeplearning_ai

🚀 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

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🔗 SOURCE

❇️ CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models 🔥

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