Machine Learning
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Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.

Admin: @HusseinSheikho || @Hussein_Sheikho
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πŸ”₯ Trending Repository: drawnix

πŸ“ Description: 开源白板ε·₯ε…·οΌˆSaaSοΌ‰οΌŒδΈ€δ½“εŒ–η™½ζΏοΌŒεŒ…ε«ζ€η»΄ε―Όε›Ύγ€ζ΅η¨‹ε›Ύγ€θ‡ͺ由画等。All in one open-source whiteboard tool with mind, flowchart, freehand and etc.

πŸ”— Repository URL: https://github.com/plait-board/drawnix

🌐 Website: https://drawnix.com

πŸ“– Readme: https://github.com/plait-board/drawnix#readme

πŸ“Š Statistics:
🌟 Stars: 4.6K stars
πŸ‘€ Watchers: 16
🍴 Forks: 373 forks

πŸ’» Programming Languages: TypeScript - SCSS - HTML

🏷️ Related Topics:
#productivity #drawing #collaboration #whiteboard #flowchart #mindmap #localfirst


==================================
🧠 By: https://t.iss.one/DataScienceM
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πŸ”₯ Trending Repository: drawnix

πŸ“ Description: 开源白板ε·₯ε…·οΌˆSaaSοΌ‰οΌŒδΈ€δ½“εŒ–η™½ζΏοΌŒεŒ…ε«ζ€η»΄ε―Όε›Ύγ€ζ΅η¨‹ε›Ύγ€θ‡ͺ由画等。All in one open-source whiteboard tool with mind, flowchart, freehand and etc.

πŸ”— Repository URL: https://github.com/plait-board/drawnix

🌐 Website: https://drawnix.com

πŸ“– Readme: https://github.com/plait-board/drawnix#readme

πŸ“Š Statistics:
🌟 Stars: 5.5K stars
πŸ‘€ Watchers: 17
🍴 Forks: 432 forks

πŸ’» Programming Languages: TypeScript - SCSS - HTML

🏷️ Related Topics:
#productivity #drawing #collaboration #whiteboard #flowchart #mindmap #localfirst


==================================
🧠 By: https://t.iss.one/DataScienceM
πŸ”₯ Trending Repository: univer

πŸ“ Description: Build truly AI-native spreadsheets. Univer is a full-stack framework for creating and editing spreadsheets, documents, and slides on both web and server. With Univer MCP, Univer Sheet is driven directly through natural language.

πŸ”— Repository URL: https://github.com/dream-num/univer

🌐 Website: https://univer.ai

πŸ“– Readme: https://github.com/dream-num/univer#readme

πŸ“Š Statistics:
🌟 Stars: 10.3K stars
πŸ‘€ Watchers: 87
🍴 Forks: 910 forks

πŸ’» Programming Languages: TypeScript

🏷️ Related Topics:
#productivity #slide #grid #sdk #excel #word #xlsx #spreadsheet #collaboration #office #powerpoint #document #data_table #doc #sheet #ppt #appscript #live_share #univer_mcp


==================================
🧠 By: https://t.iss.one/DataScienceM
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πŸ”₯ Trending Repository: Pake

πŸ“ Description: 🀱🏻 Turn any webpage into a desktop app with Rust. 🀱🏻 εˆ©η”¨ Rust θ½»ζΎζž„ε»Ίθ½»ι‡ηΊ§ε€šη«―ζ‘Œι’εΊ”η”¨

πŸ”— Repository URL: https://github.com/tw93/Pake

πŸ“– Readme: https://github.com/tw93/Pake#readme

πŸ“Š Statistics:
🌟 Stars: 41.3K stars
πŸ‘€ Watchers: 218
🍴 Forks: 7.7K forks

πŸ’» Programming Languages: JavaScript - Rust - Dockerfile

🏷️ Related Topics:
#music #rust #productivity #mac #youtube #twitter #programming #high_performance #gemini #openai #windows_desktop #linux_desktop #tauri #mac_desktop #excalidraw #llm #no_electron #chatgpt #gemini_ai #deepseek


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🧠 By: https://t.iss.one/DataScienceM
In Python, building AI-powered Telegram bots unlocks massive potential for image generation, processing, and automationβ€”master this to create viral tools and ace full-stack interviews! πŸ€–

# Basic Bot Setup - The foundation (PTB v20+ Async)
from telegram.ext import Application, CommandHandler, MessageHandler, filters

async def start(update, context):
await update.message.reply_text(
"✨ AI Image Bot Active!\n"
"/generate - Create images from text\n"
"/enhance - Improve photo quality\n"
"/help - Full command list"
)

app = Application.builder().token("YOUR_BOT_TOKEN").build()
app.add_handler(CommandHandler("start", start))
app.run_polling()


# Image Generation - DALL-E Integration (OpenAI)
import openai
from telegram.ext import ContextTypes

openai.api_key = os.getenv("OPENAI_API_KEY")

async def generate(update: Update, context: ContextTypes.DEFAULT_TYPE):
if not context.args:
await update.message.reply_text("❌ Usage: /generate cute robot astronaut")
return

prompt = " ".join(context.args)
try:
response = openai.Image.create(
prompt=prompt,
n=1,
size="1024x1024"
)
await update.message.reply_photo(
photo=response['data'][0]['url'],
caption=f"🎨 Generated: *{prompt}*",
parse_mode="Markdown"
)
except Exception as e:
await update.message.reply_text(f"πŸ”₯ Error: {str(e)}")

app.add_handler(CommandHandler("generate", generate))


Learn more: https://hackmd.io/@husseinsheikho/building-AI-powered-Telegram-bots

#Python #TelegramBot #AI #ImageGeneration #StableDiffusion #OpenAI #MachineLearning #CodingInterview #FullStack #Chatbots #DeepLearning #ComputerVision #Programming #TechJobs #DeveloperTips #CareerGrowth #CloudComputing #Docker #APIs #Python3 #Productivity #TechTips


https://t.iss.one/DataScienceM 🦾
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πŸ“Œ How to Create Professional Articles with LaTeX in Cursor

πŸ—‚ Category: LLM APPLICATIONS

πŸ•’ Date: 2025-11-25 | ⏱️ Read time: 9 min read

Streamline your academic and technical writing by creating professional articles and presentations with LaTeX directly in Cursor. This guide demonstrates how to leverage the editor to rapidly produce high-quality, typeset documents, enhancing your productivity and workflow for polished, professional results.

#LaTeX #Cursor #TechnicalWriting #Productivity
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πŸ“Œ How to Scale Your LLM usage

πŸ—‚ Category: AGENTIC AI

πŸ•’ Date: 2025-11-29 | ⏱️ Read time: 7 min read

Effectively scaling your Large Language Model (LLM) usage is crucial for unlocking major productivity improvements. This guide outlines key strategies for expanding LLM integration from proof-of-concept to full-scale deployment, enabling your teams to harness the full power of AI for enhanced operational efficiency and innovation. Learn the best practices for managing costs, ensuring reliability, and maximizing the impact of LLMs across your organization.

#LLM #AIScaling #Productivity #ArtificialIntelligence
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