Forwarded from SHOHRUH
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Bringing the Future of AI to You
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/DataScienceM
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AiOS: The Future of Human Shape & Pose Recovery
Discover AiOS, the cutting-edge, unified framework by SenseTime, HKU, IDEA, S-Lab, and Shanghai AI Lab. AiOS redefines state-of-the-art expressive pose and shape recovery, seamlessly integrating advanced features without the need for separate human detection steps.
Highlights:
✅First-of-its-Kind: Single-stage EHPS with zero extra detection networks.
✅Innovative Design: Unique "Human-as-Tokens" concept for deeper insights.
✅Enhanced Dynamics: Sophisticated attention to human relationships.
✅Comprehensive Analysis: Unified feature system for unparalleled whole-body understanding.
✅Unmatched Performance: Top-tier results sans ground truth bounding boxes.
Explore More:
Project Page
Read the Paper
@MachineLearning_Programming
Discover AiOS, the cutting-edge, unified framework by SenseTime, HKU, IDEA, S-Lab, and Shanghai AI Lab. AiOS redefines state-of-the-art expressive pose and shape recovery, seamlessly integrating advanced features without the need for separate human detection steps.
Highlights:
✅First-of-its-Kind: Single-stage EHPS with zero extra detection networks.
✅Innovative Design: Unique "Human-as-Tokens" concept for deeper insights.
✅Enhanced Dynamics: Sophisticated attention to human relationships.
✅Comprehensive Analysis: Unified feature system for unparalleled whole-body understanding.
✅Unmatched Performance: Top-tier results sans ground truth bounding boxes.
Explore More:
Project Page
Read the Paper
@MachineLearning_Programming
LeGrad: Layerwise Explainability GRADient method for large ViT transformer architectures
Explore More:
💻DEMO: you may use demo
📖Read the Paper: Access Here
💻Source Code: Explore on GitHub
Relevance: #AI #machinelearning #deeplearning #computervision
join our community:
👉 @MachineLearning_Programming
Explore More:
💻DEMO: you may use demo
📖Read the Paper: Access Here
💻Source Code: Explore on GitHub
Relevance: #AI #machinelearning #deeplearning #computervision
join our community:
👉 @MachineLearning_Programming
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🚀 Explore AI News with Us! 🤖
Looking for top-notch AI updates?
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We offer daily insights into the latest advancements, research papers, and industry news.
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Join our community of AI enthusiasts and stay ahead of the curve! 🌐✨
Looking for top-notch AI updates?
Don't miss out on our Telegram channel!
We offer daily insights into the latest advancements, research papers, and industry news.
🔗 Join now: https://t.me/Artificial_Intelligence_Updates
Join our community of AI enthusiasts and stay ahead of the curve! 🌐✨
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.
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.
Learn to deploy Gen Ai Models to production 👇
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
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
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🚀 Discover LiteHPE: Advanced Head Pose Estimation 🚀
Features:
🛠️ Setup in Minutes:
📈 Top-Tier Performance:
✅ Achieve low Mean Absolute Error rates
✅ Models range from MobileOne_s0 to s4
✅ Pretrained models ready for download
🌟 🌟 Star us on GitHub for the latest updates: LiteHPE on GitHub.
Boost your project's capabilities with LiteHPE – the forefront of head pose estimation technology!
#AI #MachineLearning #HeadPoseEstimation #Technology #DeepLearning
🔗 Join now: @MachineLearning_Programming
Features:
🛠️ Setup in Minutes:
📈 Top-Tier Performance:
✅ Achieve low Mean Absolute Error rates
✅ Models range from MobileOne_s0 to s4
✅ Pretrained models ready for download
🌟 🌟 Star us on GitHub for the latest updates: LiteHPE on GitHub.
Boost your project's capabilities with LiteHPE – the forefront of head pose estimation technology!
#AI #MachineLearning #HeadPoseEstimation #Technology #DeepLearning
🔗 Join now: @MachineLearning_Programming
🌟 Join Our Team as a Senior Data Researcher at Wunder Fund! 🌟
🚀 Location: Remote/Relocation to various countries
💸 Salary: $5k-$7k+ per month (USD or Crypto)
At wunderfund.io 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
🌐 Learn More & Apply
🚀 Location: Remote/Relocation to various countries
💸 Salary: $5k-$7k+ per month (USD or Crypto)
At wunderfund.io 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
🌐 Learn More & Apply
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3D Shot Posture Dataset
This dataset consists of the 3d and 2d postures of professional football players under shot situations.
Content of the dataset:
In 3dsp/train
20 cropped image x 200 shot
Tracklet, 2d and 3d keypoints
In 3dsp/test
20 cropped image x 10 shots
Tracklet
https://github.com/calvinyeungck/3D-Shot-Posture-Dataset
join our community:
👉 @MachineLearning_Programming
This dataset consists of the 3d and 2d postures of professional football players under shot situations.
Content of the dataset:
In 3dsp/train
20 cropped image x 200 shot
Tracklet, 2d and 3d keypoints
In 3dsp/test
20 cropped image x 10 shots
Tracklet
https://github.com/calvinyeungck/3D-Shot-Posture-Dataset
join our community:
👉 @MachineLearning_Programming
Are you struggling with invoking functions, passing arguments, or handling return values in Large Language Models (LLMs)?
Whether you’re a seasoned developer or just starting your journey in Gen AI.
In this session, we’ll explore the fascinating world of invoking functions using LLMs.
1. Introduction to LLMs.
2. Function Calls: Basics and Syntax.
3. Live Coding Examples.
4. Q&A Session.
Register For Free:
🗓 Date: 14th June, Friday
⏰ Time: 9 PM, IST
🔗 Link : https://www.buildfastwithai.com/events/function-calling-with-llms
Whether you’re a seasoned developer or just starting your journey in Gen AI.
In this session, we’ll explore the fascinating world of invoking functions using LLMs.
1. Introduction to LLMs.
2. Function Calls: Basics and Syntax.
3. Live Coding Examples.
4. Q&A Session.
Register For Free:
🗓 Date: 14th June, Friday
⏰ Time: 9 PM, IST
🔗 Link : https://www.buildfastwithai.com/events/function-calling-with-llms
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Ultralytics YOLOv8 for Smarter Parking Management Systems
💻Project Details: Discover More
🔗 Join now: @MachineLearning_Programming
💻Project Details: Discover More
🔗 Join now: @MachineLearning_Programming
🚀 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.
🔥 Limited spots! Enroll now:
https://bit.ly/mlops-free-class
🚀 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
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🔗 GitHub_Link
❇️ MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers
#Mesh
Join my channel: @MachineLearning_Programming
❇️ MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers
#Mesh
Join my channel: @MachineLearning_Programming
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🕹 VideoLLaMA 2: Open-Source Video-LLMs for Video Generation
VideoLLaMA 2 is a cutting-edge set of open-source Video-LLMs designed for advanced video generation. Building on the successes of previous models, VideoLLaMA 2 introduces a specialized space-time convolution (STC) component, enabling it to effectively capture complex dynamics in video.
🔗 Resources:
🖥 GitHub
🤗 Demo
✅ VideoLLaMA 2 Model
Explore the capabilities of VideoLLaMA 2 and revolutionize your video generation projects!
VideoLLaMA 2 is a cutting-edge set of open-source Video-LLMs designed for advanced video generation. Building on the successes of previous models, VideoLLaMA 2 introduces a specialized space-time convolution (STC) component, enabling it to effectively capture complex dynamics in video.
🔗 Resources:
🖥 GitHub
🤗 Demo
✅ VideoLLaMA 2 Model
Explore the capabilities of VideoLLaMA 2 and revolutionize your video generation projects!
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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.
🔄 Share with your network to spread the word about Face ID.
📝 Give us feedback by reviewing the code and suggesting improvements.
Thank you for being part of our journey. Let's create something amazing! 🌟
#FaceRecognition #ONNX #AdaFace #GitHub #OpenSource #TechInnovation
Happy Learning! 🌟
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.
🔄 Share with your network to spread the word about Face ID.
📝 Give us feedback by reviewing the code and suggesting improvements.
Thank you for being part of our journey. Let's create something amazing! 🌟
#FaceRecognition #ONNX #AdaFace #GitHub #OpenSource #TechInnovation
Happy Learning! 🌟
80+ Python Coding Challenges for Beginners.pdf
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📚 Title: 80+ Python Coding Challenges for Beginners (2024)
Why Python? Why This Book?
* Progressive Learning.
* Challenge Variety
* Interactive and Engaging
* Real-World Applications
* Beyond the Basics
Happy Learning! 🌟
@MachineLearning_Programming
Why Python? Why This Book?
* Progressive Learning.
* Challenge Variety
* Interactive and Engaging
* Real-World Applications
* Beyond the Basics
Happy Learning! 🌟
@MachineLearning_Programming
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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
Pretrained Weights:Quick start with our pretrained weights stored in the
💻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!