Artificial Intelligence && Deep Learning

🚀 Introducing Emotion Recognition with ONNX Runtime! Transform your projects with real-time face detection and emotion recognition. Dive into our latest repo and see the magic unfold! 🌟 Key Features: * Real-time face detection with ONNX models. * Accurate emotion recognition from detected faces. * Live visualization of emotion scores. ⭐️ Star our repo and elevate your AI projects: Emotion Recognition on GitHub Join us on this exciting journey and let’s push the boundaries of AI together! 🚀👩‍💻👨‍💻

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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

🚀 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.me/deeplearning_ai

MLOps Masterclass Productionizing Generative AI models, Navigating the Landscape of MLOps & LLMOps - Understanding the Synergy Schedule: May 25th (Sat) & 26th (Sun), 10AM to 3:30 PM Register Now👇 https://bit.ly/mlops-masterclass 🔥 Limited Seats Available! ☎️ Contact: Sarath Kumar +918940876397 / +918778033930

India's Largest Free Webinar on LLMs especially focused on the recently released LLAMA-3 by Meta. How do you use these models? How can you create apps with them? Join our free workshop on to learn how to use Llama 3 and create apps with it. Register here: https://www.buildfastwithai.com/events/llama-3-deep-dive You can connect with Founder; https://www.linkedin.com/in/satvik-paramkusham/ This Event is especially designed for people interested in the field of AI, ML, GenAI & LLMs.

🔍 Introducing UniRef++: Advanced Object Segmentation in Spatial and Temporal Domains 🚀 Key Features: Unified Model: UniRef++ seamlessly handles segmentation tasks: ✅Referring Image Segmentation (RIS) ✅Few-Shot Segmentation (FSS) ✅Referring Video Object Segmentation (RVOS) ✅Video Object Segmentation (VOS) Core Component: UniFusion module ✅Integrates reference information efficiently ✅Utilizes flash attention for high efficiency Compatibility: Acts as a plug-in for foundational models like SAM 🌐 UniRef++ is the official extended implementation from ICCV 2023's UniRef. Stay tuned for more updates! 👉 Code: https://github.com/FoundationVision/UniRef 🤨 Paper: [Paper link] ✅ https://t.me/deeplearning_ai

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 #AIwithPapers #metaverse join our community: 👉 @deeplearning_ai