Data Science Machine Learning Data Analysis
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This channel is for Programmers, Coders, Software Engineers.

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

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🔥 Trending Repository: LLMs-from-scratch

📝 Description: Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

🔗 Repository URL: https://github.com/rasbt/LLMs-from-scratch

🌐 Website: https://amzn.to/4fqvn0D

📖 Readme: https://github.com/rasbt/LLMs-from-scratch#readme

📊 Statistics:
🌟 Stars: 64.4K stars
👀 Watchers: 589
🍴 Forks: 9K forks

💻 Programming Languages: Jupyter Notebook - Python

🏷️ Related Topics:
#python #machine_learning #ai #deep_learning #pytorch #artificial_intelligence #transformer #gpt #language_model #from_scratch #large_language_models #llm #chatgpt


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🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: awesome-n8n-templates

📝 Description: Supercharge your workflow automation with this curated collection of n8n templates! Instantly connect your favorite apps-like Gmail, Telegram, Google Drive, Slack, and more-with ready-to-use, AI-powered automations. Save time, boost productivity, and unlock the true potential of n8n in just a few clicks.

🔗 Repository URL: https://github.com/enescingoz/awesome-n8n-templates

🌐 Website: https://n8n.partnerlinks.io/h1pwwf5m4toe

📖 Readme: https://github.com/enescingoz/awesome-n8n-templates#readme

📊 Statistics:
🌟 Stars: 8.9K stars
👀 Watchers: 161
🍴 Forks: 2.7K forks

💻 Programming Languages: Not available

🏷️ Related Topics:
#automation #integration #workflow_automation #n8n #no_code_ai #no_code_automation #n8n_automation #automation_templates #n8n_template


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🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: immich

📝 Description: High performance self-hosted photo and video management solution.

🔗 Repository URL: https://github.com/immich-app/immich

🌐 Website: https://immich.app

📖 Readme: https://github.com/immich-app/immich#readme

📊 Statistics:
🌟 Stars: 73.1K stars
👀 Watchers: 242
🍴 Forks: 3.9K forks

💻 Programming Languages: TypeScript - Dart - Svelte - Python - Kotlin - Swift

🏷️ Related Topics:
#nodejs #javascript #photos #typescript #svelte #photo_gallery #mobile_app #self_hosted #videos #google_photos #flutter #backup_tool #nestjs #photos_management #sveltekit #google_photos_alternative


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🧠 By: https://t.iss.one/DataScienceM
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🔥 Trending Repository: bytebot

📝 Description: Bytebot is a self-hosted AI desktop agent that automates computer tasks through natural language commands, operating within a containerized Linux desktop environment.

🔗 Repository URL: https://github.com/bytebot-ai/bytebot

🌐 Website: https://www.bytebot.ai/

📖 Readme: https://github.com/bytebot-ai/bytebot#readme

📊 Statistics:
🌟 Stars: 1.4K stars
👀 Watchers: 9
🍴 Forks: 119 forks

💻 Programming Languages: TypeScript - Dockerfile - CSS - Smarty - Scheme - JavaScript - PLpgSQL

🏷️ Related Topics:
#agent #docker #automation #ai #mcp #desktop #gemini #openai #desktop_automation #agents #cua #ai_agents #ai_tools #llm #anthropic #agentic_ai #computer_use #computer_use_agent #bytebot


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🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: papermark

📝 Description: Papermark is the open-source DocSend alternative with built-in analytics and custom domains.

🔗 Repository URL: https://github.com/mfts/papermark

🌐 Website: https://papermark.com

📖 Readme: https://github.com/mfts/papermark#readme

📊 Statistics:
🌟 Stars: 7.1K stars
👀 Watchers: 23
🍴 Forks: 976 forks

💻 Programming Languages: TypeScript

🏷️ Related Topics:
#open_source #pdf #typescript #nextjs #postgresql #hacktoberfest #prisma #tailwindcss #dataroom #next_auth #zod


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🧠 By: https://t.iss.one/DataScienceM
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🔥 Trending Repository: BillionMail

📝 Description: BillionMail gives you open-source MailServer, NewsLetter, Email Marketing — fully self-hosted, dev-friendly, and free from monthly fees. Join the discord:https://discord.gg/asfXzBUhZr

🔗 Repository URL: https://github.com/aaPanel/BillionMail

🌐 Website: https://www.billionmail.com/

📖 Readme: https://github.com/aaPanel/BillionMail#readme

📊 Statistics:
🌟 Stars: 8.9K stars
👀 Watchers: 39
🍴 Forks: 768 forks

💻 Programming Languages: Go - Shell

🏷️ Related Topics:
#mail #server #email #postfix #email_marketing #newsletter #smtp #dovecot #newsletters #mailserver #rspamd


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🧠 By: https://t.iss.one/DataScienceM
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🔥 Trending Repository: SPlayer

📝 Description: 🎉 一个简约的音乐播放器,支持逐字歌词,下载歌曲,展示评论区,音乐云盘及歌单管理,音乐频谱,移动端基础适配 | 网易云音乐 | A minimalist music player

🔗 Repository URL: https://github.com/imsyy/SPlayer

📖 Readme: https://github.com/imsyy/SPlayer#readme

📊 Statistics:
🌟 Stars: 4.7K stars
👀 Watchers: 16
🍴 Forks: 835 forks

💻 Programming Languages: Vue - TypeScript - HTML - JavaScript - SCSS - Shell

🏷️ Related Topics:
#javascript #music #music_player #vue #music_library #musicplayer #splayer #vue3 #vite #pinia


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🧠 By: https://t.iss.one/DataScienceM
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🔥 Trending Repository: GhostTrack

📝 Description: Useful tool to track location or mobile number

🔗 Repository URL: https://github.com/HunxByts/GhostTrack

📖 Readme: https://github.com/HunxByts/GhostTrack#readme

📊 Statistics:
🌟 Stars: 1.9K stars
👀 Watchers: 51
🍴 Forks: 313 forks

💻 Programming Languages: Python

🏷️ 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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🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: UI-TARS

📝 Description: No description available

🔗 Repository URL: https://github.com/bytedance/UI-TARS

📖 Readme: https://github.com/bytedance/UI-TARS#readme

📊 Statistics:
🌟 Stars: 7.1K stars
👀 Watchers: 79
🍴 Forks: 492 forks

💻 Programming Languages: Python - Makefile

🏷️ Related Topics:
#research


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🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: puter

📝 Description: 🌐 The Internet OS! Free, Open-Source, and Self-Hostable.

🔗 Repository URL: https://github.com/HeyPuter/puter

🌐 Website: https://puter.com

📖 Readme: https://github.com/HeyPuter/puter#readme

📊 Statistics:
🌟 Stars: 35K stars
👀 Watchers: 189
🍴 Forks: 2.7K forks

💻 Programming Languages: JavaScript - CSS - HTML - Shell - Dockerfile - Nix

🏷️ 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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🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: mcp

📝 Description: AWS MCP Servers — helping you get the most out of AWS, wherever you use MCP.

🔗 Repository URL: https://github.com/awslabs/mcp

🌐 Website: https://awslabs.github.io/mcp/

📖 Readme: https://github.com/awslabs/mcp#readme

📊 Statistics:
🌟 Stars: 5.6K stars
👀 Watchers: 55
🍴 Forks: 747 forks

💻 Programming Languages: Python - Shell - Dockerfile - HTML - Jinja - TypeScript - CSS

🏷️ Related Topics:
#aws #mcp #mcp_servers #mcp_server #modelcontextprotocol #mcp_client #mcp_tools #mcp_host #mcp_clients


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🧠 By: https://t.iss.one/DataScienceM
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Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset

📖 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 Training…...

🏷️ #ComputerVision #DeepLearning #ObjectDetection #Tutorial #YOLO
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Breaking the CNN Mold: YOLOv12 Brings Attention to Real-Time Object Detection

📖 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:…...

🏷️ #AttentionMechanisms #DeepLearning #RealTimeObjectDetection #Tutorial #YOLOSeries
Training YOLOv12 for Detecting Pothole Severity Using a Custom Dataset

📖 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 Training…...

🏷️ #ComputerVision #DeepLearning #ObjectDetection #Tutorial #YOLO
Breaking the CNN Mold: YOLOv12 Brings Attention to Real-Time Object Detection

📖 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:…...

🏷️ #AttentionMechanisms #DeepLearning #RealTimeObjectDetection #Tutorial #YOLOSeries
Building a Multimodal Gradio Chatbot with Llama 3.2 Using the Ollama API

📖 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 You’ll Build Today 🚀 What Is Ollama and the Ollama API Functionality Ollama…...

🏷️ #AIApplications #Chatbots #DeepLearning #Gradio #LargeLanguageModels #OpenSource #Tutorial
NeRFs Explained: Goodbye Photogrammetry?

📖 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 Steps…...

🏷️ #3DComputerVision #3DReconstruction #DeepLearning #NeuralNetworks #Photogrammetry #Tutorial
Face detection with dlib (HOG and CNN)

📖 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 package…...

🏷️ #dlib #FaceApplications #Tutorials
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Optimizing dlib shape predictor accuracy with find_min_global

📖 In this tutorial you will learn how to use dlib’s find_min_global function to optimize the options and hyperparameters to dlib’s shape predictor, yielding a more accurate model. A few weeks ago I published a two-part series on using dlib to…...

🏷️ #dlib #FaceApplications #FacialLandmarks #ShapePredictors #Tutorials
Tuning dlib shape predictor hyperparameters to balance speed, accuracy, and model size

📖 In this tutorial, you will learn how to optimally tune dlib’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 shape…...

🏷️ #dlib #FaceApplications #FacialLandmarks #ShapePredictors #Tutorials