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
✅ https://t.me/addlist/8_rRW2scgfRhOTc0
✅ https://t.me/Python53
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🧤 HaWoR: World-Space Ego 3D Hands 🧤
Introducing HaWoR: a state-of-the-art approach for 3D hand motion estimation in egocentric videos, developed by Imperial College (H/T Rolandos Alexandros Potamias). Achieving new SOTA in camera pose estimation and hand motion reconstruction, with code available under Attribution-NC-ND 4.0. 💙
Key Highlights:
✅ World-space 3D hand motion estimation
✅ Novel infiller net for hand motion reconstruction
✅ Reliable even with missing frames/occlusions
✅ Robust single-shot camera trajectory estimation
📄 Paper: arxiv.org/pdf/2501.02973
🌐 Project Page: Explore here
💻 Code: Access here
👉 Stay updated on AI/ML innovations! @MachineLearning_Programming
Introducing HaWoR: a state-of-the-art approach for 3D hand motion estimation in egocentric videos, developed by Imperial College (H/T Rolandos Alexandros Potamias). Achieving new SOTA in camera pose estimation and hand motion reconstruction, with code available under Attribution-NC-ND 4.0. 💙
Key Highlights:
✅ World-space 3D hand motion estimation
✅ Novel infiller net for hand motion reconstruction
✅ Reliable even with missing frames/occlusions
✅ Robust single-shot camera trajectory estimation
📄 Paper: arxiv.org/pdf/2501.02973
🌐 Project Page: Explore here
💻 Code: Access here
👉 Stay updated on AI/ML innovations! @MachineLearning_Programming
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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: @MachineLearning_Programming
#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: @MachineLearning_Programming
#MachineLearning #AI #ObjectDetection #YOLO #OpenSource #DevCommunity #TechInnovation
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🚀 Whisper AI is Now on Telegram! 🎙
Turn any audio, video, or YouTube content into accurate transcripts, concise summaries, and smart task executions—all powered by GPT-4o and Claude Sonnet!
🌍 Supports 120+ languages
✅ 99% accuracy
⏱️ Processes up to 6+ hours of audio seamlessly
🔊 Say goodbye to manual transcription—Whisper AI does it for you!
👉 Try it now: [whisper]
Turn any audio, video, or YouTube content into accurate transcripts, concise summaries, and smart task executions—all powered by GPT-4o and Claude Sonnet!
🌍 Supports 120+ languages
✅ 99% accuracy
⏱️ Processes up to 6+ hours of audio seamlessly
🔊 Say goodbye to manual transcription—Whisper AI does it for you!
👉 Try it now: [whisper]
🔥 WineWayLab – The FIRST Online Accelerator for WineTech Startups! 🔥
🚀 Passionate about Tech & Wine? Turn your idea into a game-changing WineTech startup with WineWayLab – a FREE 2-month online accelerator!
🎯 Who can apply?
✅ Have just an idea? Welcome!
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🔹 Evening lectures & meetups with top industry leaders
🔹 Learn from: Investors, startup founders, wine experts & more!
📅 Apply by March 1, 2025 – Spots are LIMITED!
🌍 Last batch stats: 320+ applications from 14 countries – only 60 spots! A strong motivation letter is KEY!
✨ Dream of launching a WineTech startup? This is your moment!
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#WineTech #Startups #TechInnovation #Entrepreneurship #WineLovers
🚀 Passionate about Tech & Wine? Turn your idea into a game-changing WineTech startup with WineWayLab – a FREE 2-month online accelerator!
🎯 Who can apply?
✅ Have just an idea? Welcome!
✅ Working on a project? Perfect!
✅ Have a prototype or MVP? Take it to the next level!
📢 What’s in it for you?
🔹 2 months of expert mentorship & startup development
🔹 Evening lectures & meetups with top industry leaders
🔹 Learn from: Investors, startup founders, wine experts & more!
📅 Apply by March 1, 2025 – Spots are LIMITED!
🌍 Last batch stats: 320+ applications from 14 countries – only 60 spots! A strong motivation letter is KEY!
✨ Dream of launching a WineTech startup? This is your moment!
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#WineTech #Startups #TechInnovation #Entrepreneurship #WineLovers
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🌟FACE ID: Face Identification 🌟
Hello tech enthusiasts! 🚀
Our project leverages the power of ONNX Runtime to deliver high-accuracy face identification.
🎉 Check out our project and see it in action!
🔗 Visit our GitHub Repository: FACE ID
We need your support to make this project even better! Here’s how you can help:
⭐️ Star our repository to show your appreciation and help us gain more visibility.
#FaceRecognition #ONNX #AdaFace #GitHub #OpenSource #TechInnovation
Hello tech enthusiasts! 🚀
Our project leverages the power of ONNX Runtime to deliver high-accuracy face identification.
🎉 Check out our project and see it in action!
🔗 Visit our GitHub Repository: FACE ID
We need your support to make this project even better! Here’s how you can help:
⭐️ Star our repository to show your appreciation and help us gain more visibility.
#FaceRecognition #ONNX #AdaFace #GitHub #OpenSource #TechInnovation
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🚀 PIPNet: One-Click Facial Landmark Detection 🎯
🔗 GitHub: Star ⭐ the Repo | 🎥 Watch Dem
🔥 Key Features:
✅ One-Click Inference – Just run & detect!
✅ High Accuracy (300W dataset) 📊
✅ ResNet-powered for robustness
✅ Supports training, testing & real-time demo 🎥
📌 Run Inference in One Click:
python main.py --demo
📊 Performance:
🔹 ResNet101 (120 epochs) → 3.17 NME
🌟 Support Open Source! Star ⭐ & Share!
🔗 GitHub Repo
#AI #DeepLearning #FacialRecognition #PIPNet #OneClickInference 🚀
🔗 GitHub: Star ⭐ the Repo | 🎥 Watch Dem
🔥 Key Features:
✅ One-Click Inference – Just run & detect!
✅ High Accuracy (300W dataset) 📊
✅ ResNet-powered for robustness
✅ Supports training, testing & real-time demo 🎥
📌 Run Inference in One Click:
python main.py --demo
📊 Performance:
🔹 ResNet101 (120 epochs) → 3.17 NME
🌟 Support Open Source! Star ⭐ & Share!
🔗 GitHub Repo
#AI #DeepLearning #FacialRecognition #PIPNet #OneClickInference 🚀
🚀 Generative AI is Taking Over – Will You Lead or Follow? 🚀
⚠️ FREE TRAINING
The AI revolution is here, and top companies are hiring for roles like AI Engineers, Gen AI Experts, and Generative AI Developers.
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💡 What You’ll Learn:
✅ Master Gen AI on AWS, Azure and GCP
✅ Master GPT, Claude, LLaMA & Stable Diffusion
✅ Build AI-powered applications & AI Agents
✅ Stay ahead with LLMOps & AI strategies
🔥 High demand, low competition – Now is the time to upskill!
⏳ Opportunities like this don’t last forever!
⚠️ FREE TRAINING
The AI revolution is here, and top companies are hiring for roles like AI Engineers, Gen AI Experts, and Generative AI Developers.
Register Free Now:
https://live.psitrontech.com
💡 What You’ll Learn:
✅ Master Gen AI on AWS, Azure and GCP
✅ Master GPT, Claude, LLaMA & Stable Diffusion
✅ Build AI-powered applications & AI Agents
✅ Stay ahead with LLMOps & AI strategies
🔥 High demand, low competition – Now is the time to upskill!
⏳ Opportunities like this don’t last forever!
🧠 VGGT: Visual Geometry Grounded Transformer
⚡️ Fast, accurate 3D scene understanding from just a few images — no post-processing needed!
🎯 Outputs: camera pose, depth, point cloud & 3D tracking
🔥 Boosts tasks like view synthesis & non-rigid tracking
📄 Read the paper
💻 Code on GitHub
#AI #3D #Transformer #VGGT #ComputerVision
✅ @MachineLearning_Programming
⚡️ Fast, accurate 3D scene understanding from just a few images — no post-processing needed!
🎯 Outputs: camera pose, depth, point cloud & 3D tracking
🔥 Boosts tasks like view synthesis & non-rigid tracking
📄 Read the paper
💻 Code on GitHub
#AI #3D #Transformer #VGGT #ComputerVision
✅ @MachineLearning_Programming
Forwarded from Python | Machine Learning | Coding | R
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
✅ https://t.me/addlist/8_rRW2scgfRhOTc0
✅ https://t.me/Codeprogrammer
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📚 Become a professional data scientist with these 17 resources!
1️⃣ Python libraries for machine learning
◀️ Introducing the best Python tools and packages for building ML models.
➖➖➖
2️⃣ Deep Learning Interactive Book
◀️ Learn deep learning concepts by combining text, math, code, and images.
➖➖➖
3️⃣ Anthology of Data Science Learning Resources
◀️ The best courses, books, and tools for learning data science.
➖➖➖
4️⃣ Implementing algorithms from scratch
◀️ Coding popular ML algorithms from scratch
➖➖➖
5️⃣ Machine Learning Interview Guide
◀️ Fully prepared for job interviews
➖➖➖
6️⃣ Real-world machine learning projects
◀️ Learning how to build and deploy models.
➖➖➖
7️⃣ Designing machine learning systems
◀️ How to design a scalable and stable ML system.
➖➖➖
8️⃣ Machine Learning Mathematics
◀️ Basic mathematical concepts necessary to understand machine learning.
➖➖➖
9️⃣ Introduction to Statistical Learning
◀️ Learn algorithms with practical examples.
➖➖➖
1️⃣ Machine learning with a probabilistic approach
◀️ Better understanding modeling and uncertainty with a statistical perspective.
➖➖➖
1️⃣ UBC Machine Learning
◀️ Deep understanding of machine learning concepts with conceptual teaching from one of the leading professors in the field of ML,
➖➖➖
1️⃣ Deep Learning with Andrew Ng
◀️ A strong start in the world of neural networks, CNNs and RNNs.
➖➖➖
1️⃣ Linear Algebra with 3Blue1Brown
◀️ Intuitive and visual teaching of linear algebra concepts.
➖➖➖
🔴 Machine Learning Course
◀️ A combination of theory and practical training to strengthen ML skills.
➖➖➖
1️⃣ Mathematical Optimization with Python
◀️ You will learn the basic concepts of optimization with Python code.
➖➖➖
1️⃣ Explainable models in machine learning
◀️ Making complex models understandable.
➖➖➖
⚫️ Data Analysis with Python
◀️ Data analysis skills using Pandas and NumPy libraries.
✅ @MachineLearning_Programming
1️⃣ Python libraries for machine learning
◀️ Introducing the best Python tools and packages for building ML models.
➖➖➖
2️⃣ Deep Learning Interactive Book
◀️ Learn deep learning concepts by combining text, math, code, and images.
➖➖➖
3️⃣ Anthology of Data Science Learning Resources
◀️ The best courses, books, and tools for learning data science.
➖➖➖
4️⃣ Implementing algorithms from scratch
◀️ Coding popular ML algorithms from scratch
➖➖➖
5️⃣ Machine Learning Interview Guide
◀️ Fully prepared for job interviews
➖➖➖
6️⃣ Real-world machine learning projects
◀️ Learning how to build and deploy models.
➖➖➖
7️⃣ Designing machine learning systems
◀️ How to design a scalable and stable ML system.
➖➖➖
8️⃣ Machine Learning Mathematics
◀️ Basic mathematical concepts necessary to understand machine learning.
➖➖➖
9️⃣ Introduction to Statistical Learning
◀️ Learn algorithms with practical examples.
➖➖➖
1️⃣ Machine learning with a probabilistic approach
◀️ Better understanding modeling and uncertainty with a statistical perspective.
➖➖➖
1️⃣ UBC Machine Learning
◀️ Deep understanding of machine learning concepts with conceptual teaching from one of the leading professors in the field of ML,
➖➖➖
1️⃣ Deep Learning with Andrew Ng
◀️ A strong start in the world of neural networks, CNNs and RNNs.
➖➖➖
1️⃣ Linear Algebra with 3Blue1Brown
◀️ Intuitive and visual teaching of linear algebra concepts.
➖➖➖
🔴 Machine Learning Course
◀️ A combination of theory and practical training to strengthen ML skills.
➖➖➖
1️⃣ Mathematical Optimization with Python
◀️ You will learn the basic concepts of optimization with Python code.
➖➖➖
1️⃣ Explainable models in machine learning
◀️ Making complex models understandable.
➖➖➖
⚫️ Data Analysis with Python
◀️ Data analysis skills using Pandas and NumPy libraries.
✅ @MachineLearning_Programming
Build Your Social Media Automation Agent
What if you could create a month’s worth of social media content in just one hour? Our AI workshop shows you how
Date: Thursday, 24th April at 9 PM IST
Registration Link: https://lu.ma/08r6okdy?tk=TyIt92
This session is led by Satvik, founder of Build Fast With AI, an IIT Delhi graduate and AI expert who has trained over 10,000 people!
What if you could create a month’s worth of social media content in just one hour? Our AI workshop shows you how
Date: Thursday, 24th April at 9 PM IST
Registration Link: https://lu.ma/08r6okdy?tk=TyIt92
This session is led by Satvik, founder of Build Fast With AI, an IIT Delhi graduate and AI expert who has trained over 10,000 people!
Forwarded from Artificial Intelligence && Deep Learning (SHOHRUH)
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🔗 SOURCE
❇️ CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models 🔥
Join my channel:
👇👇👇👇👇👇
@Deeplearning_ai
❇️ CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models 🔥
Join my channel:
👇👇👇👇👇👇
@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
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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
Code: https://github.com/apple/ml-fastvlm
Paper: https://www.arxiv.org/abs/2412.13303
✅ @MachineLearning_Programming
Forwarded from Artificial Intelligence && Deep Learning (SHOHRUH)
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🚀 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
📌 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