Artificial Intelligence && Deep Learning
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers
With advertising offers contact: @ai_adminn
* Artificial Intelligence
* Machine Learning
* Deep Learning
* Data Science
* Computer vision
* Image Processing
* Research Papers
With advertising offers contact: @ai_adminn
🔗 Discover More:
* Source Code:
* Project Page:
* Supplement Video:
* Paper:
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🔗 Discover More:
* Source Code:
* Project Page:
* Supplement Video:
* Paper:
✅
💼 Earn up to ₹26.6 Lakhs/Year as a Certified MLOps Engineer!
🚀 Master MLOps & LLMOps on AWS, Azure, GCP, and Open-Source Tools!
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At we've been in the HFT trading game since 2014 and our daily trading volume is around $8B. We're looking for a Senior Data Researcher to lead our neural networks direction.
👾What You’ll Do:
- Train models, test hypotheses, and achieve maximum model accuracy
- Work with top-tier programmers, mathematicians, and physicists
🤓What You Will Need:
- Proficiency in Python and Mathematics
- Experience with Kaggle (Master/Grandmaster)
- Success in training transformers and LSTM
🌐
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 Join us on this exciting journey and let’s push the boundaries of AI together! 🚀👩💻👨💻
✅
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Amazing premium resources only for my subscribers
🎁 Free Data Science Books
🎁 Machine Learning Handwritten Notes
🎁 Python Free Learning Resources
🎁 Learn AI with ChatGPT
🎁 Build Chatbots using LLM
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🎁 Free Coding Certified Courses
Free Access to our paid data science community today:
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Hope you like it 😀
🚀 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!
🔗
Let's advance gaze estimation together! 🚀🌐
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:
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✅
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👇
🔥 Limited Seats Available!
☎️ Contact:
Sarath Kumar
+918940876397 / +918778033930
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:
You can connect with Founder;
This Event is especially designed for people interested in the field of AI, ML, GenAI & LLMs.
🚀 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:
🤨 Paper:
✅
👮♀️ EPFL (+ Continental) unveils 6Img-to-3D, novel transformer-based encoder-renderer method to create 3D onbounded outdoor driving scenarios with only six pics
🥺 Review:
🤨 Paper:
👉 Project:
👉 Code:
✅
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:
📖Read the Paper: 💻Source Code:
Relevance:
join our community:
👉
Key Features:
* Collaborative Excellence.
* Advanced 3D VAE-GAN Architecture
* Universal NeRF Editing
* Contrastive Learning
* Optimized Performance
Join our community:
From the labs of IITD, we unveil ECoDepth - our groundbreaking SIDE model powered by a diffusion backbone and enriched with ViT embeddings. This innovation sets a new standard in single image depth estimation (SIDE), offering unprecedented accuracy and semantic understanding.
Key Features:
✅Revolutionary MDE approach tailored for SIDE tasks
✅Enhanced semantic context via ViT embeddings
✅Superior performance in zero-shot transfer tasks
✅Surpasses previous SOTA models by up to 14%
Dive into the future of depth estimation with ECoDepth. Access our source code and explore the full potential of our model.
📖 💻
join our community:
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