Artificial Intelligence && Deep Learning
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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

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Neural Bodies with Clothes: Overview

Introduction:
Neural-ABC, a cutting-edge parametric model developed by the University of Science & Technology of China, innovatively represents clothed human bodies.

Key Features:

Novel approach for modeling clothed human figures.
Unified framework accommodating various clothing types.
Consistent representation of both body and clothing.
Enables seamless modification of identity, shape, clothing, and pose.
Extensive dataset with detailed clothing information.

Explore More:
💻Project Details: Discover More
📖Read the Paper: Access Here
💻Source Code: Explore on GitHub

Relevance: #artificialintelligence #machinelearning #AI #deeplearning #computervision

join our community:
👉 @deeplearning_ai
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🚀 Explore SCRFD: High-Efficiency, High-Accuracy Face Detection 🚀


Unlock next-level face detection capabilities with SCRFD – efficiency and accuracy in one solution!


📈 Performance at a Glance:

Model range: SCRFD_500M to SCRFD_34G
Accuracy up to 96.06%
Inference as fast as 3.6 ms

🔍 Explore more and consider starring our repo for updates:
--- GitHub Repository.
--- Paper



#AI #MachineLearning #FaceDetection #TechInnovation #DeepLearning

https://t.iss.one/deeplearning_ai
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🔍 Discover the Power of Fine-Grained Gaze Estimation with L2CS-Net! 🌟

🚀 Key Features:
Advanced Architecture: Built using state-of-the-art neural network structures.
Versatile Utilities: Packed with utility functions and classes for seamless integration.
Robust Data Handling: Efficient data loading, preprocessing, and augmentation.
Comprehensive Training & Testing: Easy-to-follow scripts for training and testing your models.

👀 Live Demo:
Visualize the power of L2CS-Net with your own video:


🌟 Join Us:
Star our repo on GitHub and be part of the innovative community pushing the boundaries of gaze estimation. Your support drives us forward!

🔗 GitHub Repository

Let's advance gaze estimation together! 🚀🌐 #GazeEstimation #DeepLearning #AI #MachineLearning #ComputerVision
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🚀 MLOps Market to reach US$4 Billion in 2025

Unleash MLOps Mastery - FREE Training on AWS, Azure, GCP & Open-source!

Navigating the Landscape of MLOps & LLMOps

🌟 Unlock ML deployment secrets on top clouds & open source.
💡 Dive into data management insights.
🛠️ Harness the latest MLOps tools.
👥 Real-time expert interaction.

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🚀 Share with ML enthusiasts! #MLOps #AI #TechTraining
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🌟 Exciting AI Breakthrough! Meet U^2-Net! 🌟

🌟 Why U^2-Net?
*
Efficient
*
AdvancedArchitecture.
*
High-Resolution Outputs
🚀 Key Applications:
*
Salient Object Detection
*
Background Removal
*
Medical Imaging

💡 Ready to Transform Projects

Give our repo a and show your support!

#AI #DeepLearning #U2Net #ImageSegmentation #OpenSource #GitHub

💻Source Code: Explore GitHub Repo

Happy Learning! 🌟
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🚨 FREE MLOps TRAINING ALERT 🚨

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🚀 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: @DeepLearning_ai

#MachineLearning #AI #ObjectDetection #YOLO #OpenSource #DevCommunity #TechInnovation
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🚀 3DGazeNet: Revolutionizing Gaze Estimation with Weak-Supervision! 🌟

Key Features:
🔹 Advanced Neural Network: Built on the robust U2-Net architecture.
🔹 Comprehensive Utilities: Easy data loading, preprocessing, and augmentation.
🔹 Seamless Integration: Train, test, and visualize with simple commands.

Demo Visualization:Visualize the demo by configuring your video path in main.py and showcasing the power of 3DGazeNet.

Pretrained Weights:Quick start with our pretrained weights stored in the weights folder.

💻Source Code: https://github.com/Shohruh72/3DGazeNet
📖Read the Paper: Access Here


#3DGazeNet #GazeEstimation #AI #DeepLearning #TechInnovation

Join us in pushing the boundaries of gaze estimation technology with 3DGazeNet!
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🚀 You Rock! 🤘

We love the shout-out! Want to stay ahead with the latest AI news? Subscribe now! 📩

👉 Ainews.com/subscribe

#AI #News #Subs
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🚀 Introducing L2CS-Net: Fine-Grained Gaze Estimation 👀

🔗 GitHub Repo: Star the Repo

🔥 Key Features:
Fine-grained gaze estimation with deep learning
Supports Gaze360 dataset
Train with Single-GPU / Multi-GPU
Demo for real-time visualization

📌 Quick Start:
🗂️ Prepare dataset
🏋️ Train (python main.py --train)
🎥 Video Infernece (python main.py --demo)

🌟 Support Open Source! Star & Share!
🔗 GitHub Repo: L2CSNet

#AI #DeepLearning #GazeEstimation #L2CSNet #OpenSource 🚀
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🚀 Next-Level 3D Generation is Here!

🔥 TripoSG —
A state-of-the-art open-source 3D generation model powered by Large-Scale Rectified Flow Transformers.

🎨 Turn single images into high-fidelity 3D shapes — fast, accurate, and stunning.

🔗 Paper:https://arxiv.org/pdf/2502.06608v3
🛠 Demo: Try it on Hugging Face
💻 Code: GitHub Repo

💡 Built by VAST-AI Research

#AI #3D #OpenSource #DiffusionModels #TripoSG

join our community:
👉 @deeplearning_ai
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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

@deeplearning_ai
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🚀 3DGazeNet: Next-Gen Gaze Estimation! - get instant results with just one click.

Discover how to train powerful gaze estimation models using only synthetic data and weak supervision—no huge real-world datasets needed.
Perfect for AR/VR, HCI, and beyond.
Cutting-edge, open-source, and ready for your next project!

👉 Try it now: https://github.com/Shohruh72/3DGazeNet

#DeepLearning #GazeEstimation #AI

@deeplearning_ai
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🎯 Share with fellow ML Enthusiasts and future tech leaders!
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🚀 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: @DeepLearning_ai

#MachineLearning #AI #ObjectDetection #YOLO #OpenSource #DevCommunity #TechInnovation
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ReferDINO: Referring Video Object Segmentation with Visual Grounding Foundations

Source Code: Github

📢 Join our ML community: @DeepLearning_ai

#MachineLearning #AI #ObjectDetection #YOLO #OpenSource #DevCommunity #TechInnovation
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