Good day dear subscribers.
Within this past a year we learn or still learning more about specific topics through channel.
I try with my best to provide, keep going with contemporary knowladge and practice, as well as, keep in touch with things based on #AI, #ML, #DL, #DS, #Python.
Thanks for being with us and Stay with us.
Within this past a year we learn or still learning more about specific topics through channel.
I try with my best to provide, keep going with contemporary knowladge and practice, as well as, keep in touch with things based on #AI, #ML, #DL, #DS, #Python.
Thanks for being with us and Stay with us.
Good day dear subscribers.
Today, 25th January, our community are already more than 30K.
Within these years we learn or still learning more about specific topics through channel.
I try my best to provide, keep going with contemporary knowledge and practice, as well as, keep in touch with things based on #AI, #ML, #DL, #DS, #Python.
Thanks for being with us and stay with us and invite your friends (https://t.me/DeepLearning_ai).
If you have suggestions to improve the channel's content or related things, please let me know. Thanks
@ShohruhRakhmatov
Today, 25th January, our community are already more than 30K.
Within these years we learn or still learning more about specific topics through channel.
I try my best to provide, keep going with contemporary knowledge and practice, as well as, keep in touch with things based on #AI, #ML, #DL, #DS, #Python.
Thanks for being with us and stay with us and invite your friends (https://t.me/DeepLearning_ai).
If you have suggestions to improve the channel's content or related things, please let me know. Thanks
@ShohruhRakhmatov
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Artificial Intelligence && Deep Learning
Channel for who have a passion for -
* 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
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🆔🆔 Magic-Me: Identity-Specific Video 🆔🆔
👉hashtag#ByteDance (+UC Berkeley) unveils VCD for video-gen: with just a few images of a specific identity it can generate temporal consistent videos aligned with the given prompt. Impressive results, source code under Apache 2.0 💙
𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Novel Video Custom Diffusion (VCD) framework
✅High-Quality ID-specific videos generation
✅Improvement in aligning IDs-images and text
✅Robust 3D Gaussian Noise Prior for denoising
✅Better Inter-frame correlation / video consistency
✅New modules F-VCD/T-VCD for videos upscale
✅New train with masked loss by prompt-to-segmentation
hashtag#artificialintelligence hashtag#machinelearning hashtag#ml hashtag#AI hashtag#deeplearning hashtag#computervision hashtag#AIwithPapers hashtag#metaverse
👉Channel: @deeplearning_ai
👉Paper https://arxiv.org/pdf/2402.09368.pdf
👉Project https://magic-me-webpage.github.io/
👉Code https://github.com/Zhen-Dong/Magic-Me
👉hashtag#ByteDance (+UC Berkeley) unveils VCD for video-gen: with just a few images of a specific identity it can generate temporal consistent videos aligned with the given prompt. Impressive results, source code under Apache 2.0 💙
𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Novel Video Custom Diffusion (VCD) framework
✅High-Quality ID-specific videos generation
✅Improvement in aligning IDs-images and text
✅Robust 3D Gaussian Noise Prior for denoising
✅Better Inter-frame correlation / video consistency
✅New modules F-VCD/T-VCD for videos upscale
✅New train with masked loss by prompt-to-segmentation
hashtag#artificialintelligence hashtag#machinelearning hashtag#ml hashtag#AI hashtag#deeplearning hashtag#computervision hashtag#AIwithPapers hashtag#metaverse
👉Channel: @deeplearning_ai
👉Paper https://arxiv.org/pdf/2402.09368.pdf
👉Project https://magic-me-webpage.github.io/
👉Code https://github.com/Zhen-Dong/Magic-Me
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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
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
demo.gif
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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.me/deeplearning_ai
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
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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
🚀 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
🚀 MLOps Market to reach US$4 Billion in 2025
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Navigating the Landscape of MLOps & LLMOps
🌟 Unlock ML deployment secrets on top clouds & open source.
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🚀 Share with ML enthusiasts! #MLOps #AI #TechTraining
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.
🔥 Limited spots! Enroll now:
https://bit.ly/mlops-free-class
🚀 Share with ML enthusiasts! #MLOps #AI #TechTraining
🌟 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! 🌟
🌟 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!
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💻Source Code: Explore GitHub Repo
Happy Learning! 🌟
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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
🔍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
🚀 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!
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!
🚀 You Rock! 🤘
We love the shout-out! Want to stay ahead with the latest AI news? Subscribe now! 📩
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#AI #News #Subs
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 (
🎥 Video Infernece (
🌟 Support Open Source! Star ⭐ & Share!
🔗 GitHub Repo: L2CSNet
#AI #DeepLearning #GazeEstimation #L2CSNet #OpenSource 🚀
🔗 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 🚀
🚀 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
🔥 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
🚨 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!
🔥 LIMITED SPOTS – Act Fast!
📝 Secure Your Spot Now:
https://www.eventbrite.com/e/mlops-specialization-course-demo-tickets-710123256777
💡 Transform Your Career with our Expert Training!
🎯 Share with fellow ML Enthusiasts and future tech leaders!
#MLOps #AI #TechCareers #FreeTraining
💼 Earn up to ₹35.1 Lakhs/Year as a Certified MLOps Engineer!
🚀 Master MLOps & LLMOps on AWS, Azure, GCP, and Open-Source Tools!
🔥 LIMITED SPOTS – Act Fast!
📝 Secure Your Spot Now:
https://www.eventbrite.com/e/mlops-specialization-course-demo-tickets-710123256777
💡 Transform Your Career with our Expert Training!
🎯 Share with fellow ML Enthusiasts and future tech leaders!
#MLOps #AI #TechCareers #FreeTraining