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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
📚 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.
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2️⃣ Deep Learning Interactive Book
◀️ Learn deep learning concepts by combining text, math, code, and images.
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3️⃣ Anthology of Data Science Learning Resources
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4️⃣ Implementing algorithms from scratch
◀️ Coding popular ML algorithms from scratch
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5️⃣ Machine Learning Interview Guide
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6️⃣ Real-world machine learning projects
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8️⃣ Machine Learning Mathematics
◀️ Basic mathematical concepts necessary to understand machine learning.
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9️⃣ Introduction to Statistical Learning
◀️ Learn algorithms with practical examples.
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1️⃣ Machine learning with a probabilistic approach
◀️ Better understanding modeling and uncertainty with a statistical perspective.
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1️⃣ UBC Machine Learning
◀️ Deep understanding of machine learning concepts with conceptual teaching from one of the leading professors in the field of ML,
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1️⃣ Deep Learning with Andrew Ng
◀️ A strong start in the world of neural networks, CNNs and RNNs.
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1️⃣ Linear Algebra with 3Blue1Brown
◀️ Intuitive and visual teaching of linear algebra concepts.
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🔴 Machine Learning Course
◀️ A combination of theory and practical training to strengthen ML skills.
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1️⃣ Mathematical Optimization with Python
◀️ You will learn the basic concepts of optimization with Python code.
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1️⃣ Explainable models in machine learning
◀️ Making complex models understandable.
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⚫️ Data Analysis with Python
◀️ Data analysis skills using Pandas and NumPy libraries.
✅ @Deeplearning_ai
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join our community:
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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 (python main.py --train)
🎥 Video Infernece (python main.py --demo)
🌟 Support Open Source! Star ⭐ & Share!
🔗 GitHub Repo: L2CSNet
#AI #DeepLearning #GazeEstimation #L2CSNet #OpenSource 🚀
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🚀 The Future of Object Detection is Here!
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🎥 Live Demos & Code: GitHub Repo
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⚽ FIFA World Cup 3D Human Pose Dataset ⚽
Discover WorldPose: a cutting-edge dataset for multi-person global pose estimation, featuring footage from the 2022 FIFA World Cup with 2.5M+ annotations!
Key Highlights:
✅ Authors: ETH, FIFA, Microsoft
✅ 150K+ frames, 2.5M+ 3D poses (SMPL format)
✅ Calibrated moving cameras & accurate trajectories
📄 Paper: arxiv.org/pdf/2501.02771
📊 Dataset: Access here
👉 Join our Telegram channel for AI/ML updates! LINK
🔥 Shanghai AI Lab Introduces RTMW: Real-Time Multi-Person Whole-Body Pose Estimation 🔥
• Blazing Speed: 940+ FPS on GPU, 50–300+ FPS on CPU
• High-Performance Models: Supports 2D/3D whole-body pose estimation
• Cutting-Edge Architecture: Built upon RTMPose with FPN & HEM
• Wide Dataset Coverage: Manually aligned keypoints across 14 open datasets
• Extensive Framework Support: ONNX, TensorRT, ncnn, and OpenVINO
• Open Source: Code and pre-trained models available
🔗 Discover More:
* Source code: Github
* Paper: Read the paper
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Free access to our secret channels ✅
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PanoDreamer: 3D Panorama Synthesis from a Single Image
🔗 Discover More:
* Source code: Github
* Project Page: PanoDreamer
* Paper: Read the paper
* YouTube: Video Results
✅ /channel/deeplearning_ai
❇️ AniGS: Animatable Gaussian Avatar from a Single Image with Inconsistent Gaussian Reconstruction 🔥
🔗 Discover More:
* Github Link
* Project Page: AniGS
* Paper: Read the paper
✅ /channel/deeplearning_ai
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❇️ 3D Reconstruction with Spatial Memory
🔗 Discover More:
* Source Code: GitHub
* Project Page: Spann3R
* Supplement Video: Try it here
* Paper: Read the paper
✅ /channel/deeplearning_ai
This channels is for Programmers, Coders, Software Engineers.
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🚀 Generative AI is Taking Over – Will You Lead or Follow? 🚀
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Pippo: High-Resolution Multi-View Humans from a Single Image
🔗 Discover More:
* Source code: Github
* Paper: Read the paper
* Jump to Visual: LINK
🚀 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!
🌟 Discover 6DRepNet: The Ultimate Head Pose Estimation Model!
Features:
* State-of-the-art accuracy
* Comprehensive tools for training, testing, and inference
* Easy setup with conda
* Supports multiple datasets
Watch the performance showcase on GitHub for future advancements.
[Source Code] [Paper]
join our community:
👉 @deeplearning_ai
🚀 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!
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This channels is for Programmers, Coders, Software Engineers.
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1️⃣ Data Science
2️⃣ Machine Learning
3️⃣ Data Visualization
4️⃣ Artificial Intelligence
5️⃣ Data Analysis
6️⃣ Statistics
7️⃣ Deep Learning
8️⃣ programming Languages
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OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving
🔗 Discover More:
* Source code: Github
* Paper: Read the paper
✅ /channel/deeplearning_ai
Elevating Flow-Guided Video Inpainting with Reference Generation
🔗 Discover More:
* Source code: Github
* Paper: Read the paper
✅ /channel/deeplearning_ai
HunyuanVideo: A Systematic Framework For Large Video Generation Model
🔗 Discover More:
* Source code: Github
* Project Page: HunyuanVideo
* Paper: Read the paper
✅ /channel/deeplearning_ai
🚀 Generative AI & MLOps Masterclass!
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Feel free to reach out for more details!
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* Source Code: GitHub
* Try Demo: Try it here
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"DARTH: Holistic Test-time Adaptation for Multiple Object Tracking"
🔗 Discover More:
* Source Code: GitHub
✅ /channel/deeplearning_ai
/channel/boost/DeepLearning_ai
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