Data Science Machine Learning Data Analysis
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1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning

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๐Ÿ”ฅ Trending Repository: SPlayer

๐Ÿ“ Description: ๐ŸŽ‰ ไธ€ไธช็ฎ€็บฆ็š„้Ÿณไนๆ’ญๆ”พๅ™จ๏ผŒๆ”ฏๆŒ้€ๅญ—ๆญŒ่ฏ๏ผŒไธ‹่ฝฝๆญŒๆ›ฒ๏ผŒๅฑ•็คบ่ฏ„่ฎบๅŒบ๏ผŒ้Ÿณไนไบ‘็›˜ๅŠๆญŒๅ•็ฎก็†๏ผŒ้Ÿณไน้ข‘่ฐฑ๏ผŒ็งปๅŠจ็ซฏๅŸบ็ก€้€‚้… | ็ฝ‘ๆ˜“ไบ‘้Ÿณไน | A minimalist music player

๐Ÿ”— Repository URL: https://github.com/imsyy/SPlayer

๐Ÿ“– Readme: https://github.com/imsyy/SPlayer#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 4.7K stars
๐Ÿ‘€ Watchers: 16
๐Ÿด Forks: 835 forks

๐Ÿ’ป Programming Languages: Vue - TypeScript - HTML - JavaScript - SCSS - Shell

๐Ÿท๏ธ Related Topics:
#javascript #music #music_player #vue #music_library #musicplayer #splayer #vue3 #vite #pinia


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๐Ÿง  By: https://t.iss.one/DataScienceM
โค2
๐Ÿ”ฅ Trending Repository: GhostTrack

๐Ÿ“ Description: Useful tool to track location or mobile number

๐Ÿ”— Repository URL: https://github.com/HunxByts/GhostTrack

๐Ÿ“– Readme: https://github.com/HunxByts/GhostTrack#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 1.9K stars
๐Ÿ‘€ Watchers: 51
๐Ÿด Forks: 313 forks

๐Ÿ’ป Programming Languages: Python

๐Ÿท๏ธ Related Topics:
#python #linux #osint #phone_number #information #fyp #hacking #cybersecurity #indonesia #pentesting #ip_geolocation #termux #hacking_tool #information_gathering #python_hacking #termux_tool #osint_python #osint_tool #termux_hacks


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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: UI-TARS

๐Ÿ“ Description: No description available

๐Ÿ”— Repository URL: https://github.com/bytedance/UI-TARS

๐Ÿ“– Readme: https://github.com/bytedance/UI-TARS#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 7.1K stars
๐Ÿ‘€ Watchers: 79
๐Ÿด Forks: 492 forks

๐Ÿ’ป Programming Languages: Python - Makefile

๐Ÿท๏ธ Related Topics:
#research


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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: puter

๐Ÿ“ Description: ๐ŸŒ The Internet OS! Free, Open-Source, and Self-Hostable.

๐Ÿ”— Repository URL: https://github.com/HeyPuter/puter

๐ŸŒ Website: https://puter.com

๐Ÿ“– Readme: https://github.com/HeyPuter/puter#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 35K stars
๐Ÿ‘€ Watchers: 189
๐Ÿด Forks: 2.7K forks

๐Ÿ’ป Programming Languages: JavaScript - CSS - HTML - Shell - Dockerfile - Nix

๐Ÿท๏ธ Related Topics:
#javascript #open_source #gui #cloud #dropbox #storage #os #desktop #cloud_storage #osjs #operating_system #remote_desktop #webtop #web_desktop #desktop_environment #nas #web_os #good_first_issue #cloud_os #puter


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๐Ÿง  By: https://t.iss.one/DataScienceM
๐Ÿ”ฅ Trending Repository: mcp

๐Ÿ“ Description: AWS MCP Servers โ€” helping you get the most out of AWS, wherever you use MCP.

๐Ÿ”— Repository URL: https://github.com/awslabs/mcp

๐ŸŒ Website: https://awslabs.github.io/mcp/

๐Ÿ“– Readme: https://github.com/awslabs/mcp#readme

๐Ÿ“Š Statistics:
๐ŸŒŸ Stars: 5.6K stars
๐Ÿ‘€ Watchers: 55
๐Ÿด Forks: 747 forks

๐Ÿ’ป Programming Languages: Python - Shell - Dockerfile - HTML - Jinja - TypeScript - CSS

๐Ÿท๏ธ Related Topics:
#aws #mcp #mcp_servers #mcp_server #modelcontextprotocol #mcp_client #mcp_tools #mcp_host #mcp_clients


==================================
๐Ÿง  By: https://t.iss.one/DataScienceM
โค1
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โค1
โœจ Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset โœจ

๐Ÿ“– Table of Contents Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset Introduction Dataset and Task Overview About the Dataset What Are We Detecting? Defining Pothole Severity Can the Pothole Severity Logic Be Improved? Configuring Your Development Environment Trainingโ€ฆ...

๐Ÿท๏ธ #ComputerVision #DeepLearning #ObjectDetection #Tutorial #YOLO
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โœจ Breaking the CNN Mold: YOLOv12 Brings Attention to Real-Time Object Detection โœจ

๐Ÿ“– Table of Contents Breaking the CNN Mold: YOLOv12 Brings Attention to Real-Time Object Detection The YOLO Evolution (Quick Recap) YOLOv8: Introducing the C2f Module and OBB Support YOLOv9: Programmable Gradient Information and GELAN YOLOv10: NMS-Free Training and Dual Assignments YOLOv11:โ€ฆ...

๐Ÿท๏ธ #AttentionMechanisms #DeepLearning #RealTimeObjectDetection #Tutorial #YOLOSeries
โœจ Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset โœจ

๐Ÿ“– Table of Contents Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset Introduction Dataset and Task Overview About the Dataset What Are We Detecting? Defining Pothole Severity Can the Pothole Severity Logic Be Improved? Configuring Your Development Environment Trainingโ€ฆ...

๐Ÿท๏ธ #ComputerVision #DeepLearning #ObjectDetection #Tutorial #YOLO
โœจ Breaking the CNN Mold: YOLOv12 Brings Attention to Real-Time Object Detection โœจ

๐Ÿ“– Table of Contents Breaking the CNN Mold: YOLOv12 Brings Attention to Real-Time Object Detection The YOLO Evolution (Quick Recap) YOLOv8: Introducing the C2f Module and OBB Support YOLOv9: Programmable Gradient Information and GELAN YOLOv10: NMS-Free Training and Dual Assignments YOLOv11:โ€ฆ...

๐Ÿท๏ธ #AttentionMechanisms #DeepLearning #RealTimeObjectDetection #Tutorial #YOLOSeries
โœจ Building a Multimodal Gradio Chatbot with Llama 3.2 Using the Ollama API โœจ

๐Ÿ“– Table of Contents Building a Multimodal Gradio Chatbot with Llama 3.2 Using the Ollama API What Is Gradio and Why Is It Ideal for Chatbots? The Chatbot Youโ€™ll Build Today ๐Ÿš€ What Is Ollama and the Ollama API Functionality Ollamaโ€ฆ...

๐Ÿท๏ธ #AIApplications #Chatbots #DeepLearning #Gradio #LargeLanguageModels #OpenSource #Tutorial
โœจ NeRFs Explained: Goodbye Photogrammetry? โœจ

๐Ÿ“– Table of Contents NeRFs Explained: Goodbye Photogrammetry? How Do NeRFs Work? Block #A: We Begin with a 5D Input Block #B: The Neural Network and Its Output Block #C: Volumetric Rendering The NeRF Problem and Evolutions Summary and Next Stepsโ€ฆ...

๐Ÿท๏ธ #3DComputerVision #3DReconstruction #DeepLearning #NeuralNetworks #Photogrammetry #Tutorial
โœจ Face detection with dlib (HOG and CNN) โœจ

๐Ÿ“– In this tutorial, you will learn how to perform face detection with the dlib library using both HOG + Linear SVM and CNNs. The dlib library is arguably one of the most utilized packages for face recognition. A Python packageโ€ฆ...

๐Ÿท๏ธ #dlib #FaceApplications #Tutorials
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โœจ Optimizing dlib shape predictor accuracy with find_min_global โœจ

๐Ÿ“– In this tutorial you will learn how to use dlibโ€™s find_min_global function to optimize the options and hyperparameters to dlibโ€™s shape predictor, yielding a more accurate model. A few weeks ago I published a two-part series on using dlib toโ€ฆ...

๐Ÿท๏ธ #dlib #FaceApplications #FacialLandmarks #ShapePredictors #Tutorials
โœจ Tuning dlib shape predictor hyperparameters to balance speed, accuracy, and model size โœจ

๐Ÿ“– In this tutorial, you will learn how to optimally tune dlibโ€™s shape predictor hyperparameters and options to obtain a shape predictor that balances speed, accuracy, and model size. Today is part two in our two-part series on training custom shapeโ€ฆ...

๐Ÿท๏ธ #dlib #FaceApplications #FacialLandmarks #ShapePredictors #Tutorials
โœจ Training a custom dlib shape predictor โœจ

๐Ÿ“– In this tutorial, you will learn how to train your own custom dlib shape predictor. Youโ€™ll then learn how to take your trained dlib shape predictor and use it to predict landmarks on input images and real-time video streams. Todayโ€ฆ...

๐Ÿท๏ธ #dlib #FaceApplications #FacialLandmarks #ShapePredictors #Tutorials
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โœจ Introduction to OpenCV AI Kit (OAK) โœจ

๐Ÿ“– Table of Contents Introduction to OpenCV AI Kit (OAK) Introduction OAK Hardware OAK-1 OAK-D Limitation OAK-FFC OAK USB Hardware Offerings OAK PoE Hardware Offerings OAK Developer Kit OAK Modules Comparison Applications on OAK Image Classifier On-Device Face Detection Face Maskโ€ฆ...

๐Ÿท๏ธ #EmbeddedIoTandComputerVision #EmbeddedIoTComputerVision #OAK #Tutorials
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โœจ An interview with Jagadish Mahendran, 1st place winner of the OpenCV Spatial AI Competition โœจ

๐Ÿ“– In this post, I interview Jagadish Mahendran, senior Computer Vision/Artificial Intelligence (AI) engineer who recently won 1st place in the OpenCV Spatial AI Competition using the new OpenCV AI Kit (OAK). Jagadishโ€™s winning project was a computer vision system forโ€ฆ...

๐Ÿท๏ธ #EmbeddedIoTandComputerVision #Interviews #OpenCVAIKit
โœจ An interview with Brandon Gilles, creator of the OpenCV AI Kit (OAK) โœจ

๐Ÿ“– In this post, I interview Brandon Gilles, a longtime PyImageSearch reader, and creator of the OpenCV AI Kit (OAK), which is revolutionizing how we are performing embedded computer vision and deep learning. To celebrate the 20th anniversary of the OpenCVโ€ฆ...

๐Ÿท๏ธ #DeepLearning #EmbeddedIoTandComputerVision #Interviews #OpenCVAIKit
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โœจ How to configure your NVIDIA Jetson Nano for Computer Vision and Deep Learning โœจ

๐Ÿ“– In todayโ€™s tutorial, you will learn how to configure your NVIDIA Jetson Nano for Computer Vision and Deep Learning with TensorFlow, Keras, TensorRT, and OpenCV. Two weeks ago, we discussed how to use my pre-configured Nano .img file โ€” today,โ€ฆ...

๐Ÿท๏ธ #DeepLearning #EmbeddedIoTandComputerVision #IoT #Tutorials
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