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Github Top Repositories

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Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.

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📈 Análisis del canal de Telegram Github Top Repositories

El canal Github Top Repositories (@githubre) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 13 307 suscriptores, ocupando la posición 15 308 en la categoría Educación y el puesto 32 286 en la región India.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 13 307 suscriptores.

Según los últimos datos del 13 junio, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 393, y en las últimas 24 horas de 6, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 1.10%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.75% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 146 visualizaciones. En el primer día suele acumular 100 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 1.
  • Intereses temáticos: El contenido se centra en temas clave como repository, fork, programming, statistic, description.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 14 junio, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.

13 307
Suscriptores
+624 horas
+887 días
+39330 días
Archivo de publicaciones
🔥 Trending Repository: LLaMA-Factory 📝 Description: Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024) 🔗 Repository URL: https://github.com/hiyouga/LLaMA-Factory 🌐 Website: https://llamafactory.readthedocs.io 📖 Readme: https://github.com/hiyouga/LLaMA-Factory#readme 📊 Statistics: 🌟 Stars: 61.3K stars 👀 Watchers: 295 🍴 Forks: 7.4K forks 💻 Programming Languages: Python 🏷️ Related Topics:
#nlp #agent #ai #transformers #moe #llama #gpt #lora #quantization #gemma #fine_tuning #peft #large_language_models #llm #rlhf #instruction_tuning #qlora #qwen #deepseek #llama3
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: BettaFish 📝 Description: 微舆:人人可用的多Agent舆情分析助手,打破信息茧房,还原舆情原貌,预测未来走向,辅助决策!从0实现,不依赖任何框架。 🔗 Repository URL: https://github.com/666ghj/BettaFish 📖 Readme: https://github.com/666ghj/BettaFish#readme 📊 Statistics: 🌟 Stars: 2.1K stars 👀 Watchers: 🍴 Forks: 295 forks 💻 Programming Languages: Python - HTML 🏷️ Related Topics:
#nlp #sentiment_analysis #python3 #data_analysis #deep_search #multi_agent_system #agent_framework #public_opinion_analysis #llms #deep_research
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: Ventoy 📝 Description: A new bootable USB solution. 🔗 Repository URL: https://github.com/ventoy/Ventoy 🌐 Website: https://www.ventoy.net 📖 Readme: https://github.com/ventoy/Ventoy#readme 📊 Statistics: 🌟 Stars: 71.7K stars 👀 Watchers: 683 🍴 Forks: 4.5K forks 💻 Programming Languages: C - Shell - HTML - C++ - CSS - Makefile 🏷️ Related Topics:
#windows #linux #unix #legacy #usb #multiboot #persistence #bsd #uefi #chromeos #iso_files #secure_boot #unattended #auto_install #bootable_usb
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: claude-relay-service 📝 Description: CRS-自建Claude Code镜像,一站式开源中转服务,让 Claude、OpenAI、Gemini、Droid 订阅统一接入,支持拼车共享,更高效分摊成本,原生工具无缝使用。 🔗 Repository URL: https://github.com/Wei-Shaw/claude-relay-service 🌐 Website: https://pincc.ai 📖 Readme: https://github.com/Wei-Shaw/claude-relay-service#readme 📊 Statistics: 🌟 Stars: 4.6K stars 👀 Watchers: 13 🍴 Forks: 769 forks 💻 Programming Languages: JavaScript - Vue - Shell - CSS - Makefile - Dockerfile 🏷️ Related Topics:
#droid #crs #claude #claude_api #gemini_cli #claude_code #codex_cli #claude_proxy #droid_cli #droid2api
================================== 🧠 By: https://t.me/DataScienceM

Repost from Kaggle Data Hub
Is Your Crypto Transfer Secure? Score Your Transfer analyzes wallet activity, flags risky transactions in real time, and gene
Is Your Crypto Transfer Secure? Score Your Transfer analyzes wallet activity, flags risky transactions in real time, and generates downloadable compliance reports—no technical skills needed. Protect funds & stay compliant. Sponsored By WaybienAds

A title I guess this is a start https://t.me/frommeforworld Sponsored By WaybienAds
A title I guess this is a start https://t.me/frommeforworld Sponsored By WaybienAds

🔥 Trending Repository: WeKnora 📝 Description: LLM-powered framework for deep document understanding, semantic retrieval, and context-aware answers using RAG paradigm. 🔗 Repository URL: https://github.com/Tencent/WeKnora 🌐 Website: https://weknora.weixin.qq.com 📖 Readme: https://github.com/Tencent/WeKnora#readme 📊 Statistics: 🌟 Stars: 6.8K stars 👀 Watchers: 43 🍴 Forks: 778 forks 💻 Programming Languages: Go - Vue - Python - TypeScript - Shell - Less 🏷️ Related Topics:
#agent #golang #multi_tenant #ai #chatbot #evaluation #embeddings #openai #question_answering #chatbots #knowledge_base #semantic_search #reranking #multimodel #rag #vector_search #llm #generative_ai #agentic #ollama
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: mem0 📝 Description: Universal memory layer for AI Agents; Announcing OpenMemory MCP - local and secure memory management. 🔗 Repository URL: https://github.com/mem0ai/mem0 🌐 Website: https://mem0.ai 📖 Readme: https://github.com/mem0ai/mem0#readme 📊 Statistics: 🌟 Stars: 42.1K stars 👀 Watchers: 203 🍴 Forks: 4.5K forks 💻 Programming Languages: Python - TypeScript - MDX - Jupyter Notebook - JavaScript - Shell 🏷️ Related Topics:
#python #application #state_management #ai #memory #chatbots #memory_management #agents #hacktoberfest #ai_agents #long_term_memory #rag #llm #chatgpt #genai
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: jan 📝 Description: Jan is an open source alternative to ChatGPT that runs 100% offline on your computer. 🔗 Repository URL: https://github.com/janhq/jan 🌐 Website: https://jan.ai/ 📖 Readme: https://github.com/janhq/jan#readme 📊 Statistics: 🌟 Stars: 38.4K stars 👀 Watchers: 203 🍴 Forks: 2.3K forks 💻 Programming Languages: TypeScript - Rust - Python - JavaScript - Shell - PowerShell 🏷️ Related Topics:
#open_source #self_hosted #gpt #tauri #llm #chatgpt #llamacpp #localai
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: MONAI 📝 Description: AI Toolkit for Healthcare Imaging 🔗 Repository URL: https://github.com/Project-MONAI/MONAI 🌐 Website: https://monai.io/ 📖 Readme: https://github.com/Project-MONAI/MONAI#readme 📊 Statistics: 🌟 Stars: 7K stars 👀 Watchers: 95 🍴 Forks: 1.3K forks 💻 Programming Languages: Python - C++ - Cuda 🏷️ Related Topics:
#deep_learning #python3 #pytorch #medical_image_computing #medical_image_processing #healthcare_imaging #monai
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: cpp-httplib 📝 Description: A C++ header-only HTTP/HTTPS server and client library 🔗 Repository URL: https://github.com/yhirose/cpp-httplib 📖 Readme: https://github.com/yhirose/cpp-httplib#readme 📊 Statistics: 🌟 Stars: 15.2K stars 👀 Watchers: 189 🍴 Forks: 2.5K forks 💻 Programming Languages: C++ - CMake - C - Meson - Makefile - Python 🏷️ Related Topics:
#http #cpp #https #cpp11 #header_only
================================== 🧠 By: https://t.me/DataScienceM

This channels is for Programmers, Coders, Software Engineers. 0️⃣ Python 1️⃣ Data Science 2️⃣ Machine Learning 3️⃣ Data Visua
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_rRW2scgfRhOTc0https://t.me/Codeprogrammer

Tired of spending big and seeing small results? You’ve tried Facebook Ads, Instagram and Google—how about real engagement ins
Tired of spending big and seeing small results? You’ve tried Facebook Ads, Instagram and Google—how about real engagement inside Telegram communities? Check our community channel! https://t.me/waybien Sponsored By WaybienAds

🔥 Trending Repository: olmocr 📝 Description: Toolkit for linearizing PDFs for LLM datasets/training 🔗 Repository URL: https://github.com/allenai/olmocr 📖 Readme: https://github.com/allenai/olmocr#readme 📊 Statistics: 🌟 Stars: 14.9K stars 👀 Watchers: 77 🍴 Forks: 1.1K forks 💻 Programming Languages: Python - Shell - HTML 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: VoiceInk 📝 Description: Voice-to-text app for macOS to transcribe what you say to text almost instantly 🔗 Repository URL: https://github.com/Beingpax/VoiceInk 🌐 Website: https://tryvoiceink.com 📖 Readme: https://github.com/Beingpax/VoiceInk#readme 📊 Statistics: 🌟 Stars: 2.2K stars 👀 Watchers: 10 🍴 Forks: 276 forks 💻 Programming Languages: Swift 🏷️ Related Topics:
#macos #swift #macos_app
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: Web-Dev-For-Beginners 📝 Description: 24 Lessons, 12 Weeks, Get Started as a Web Developer 🔗 Repository URL: https://github.com/microsoft/Web-Dev-For-Beginners 📖 Readme: https://github.com/microsoft/Web-Dev-For-Beginners#readme 📊 Statistics: 🌟 Stars: 92.5K stars 👀 Watchers: 2.7k 🍴 Forks: 14.4K forks 💻 Programming Languages: JavaScript - HTML - CSS - Vue - Python 🏷️ Related Topics:
#javascript #css #html #learning #education #curriculum #tutorials #microsoft_for_beginners
================================== 🧠 By: https://t.me/DataScienceM

🔥 Trending Repository: opentelemetry-collector 📝 Description: OpenTelemetry Collector 🔗 Repository URL: https://github.com/open-telemetry/opentelemetry-collector 🌐 Website: https://opentelemetry.io 📖 Readme: https://github.com/open-telemetry/opentelemetry-collector#readme 📊 Statistics: 🌟 Stars: 5.9K stars 👀 Watchers: 88 🍴 Forks: 1.8K forks 💻 Programming Languages: Go 🏷️ Related Topics:
#monitoring #metrics #telemetry #observability #opentelemetry #open_telemetry
================================== 🧠 By: https://t.me/DataScienceM

🎥 Ditto: Innovations in Video Editing with AI Ditto is an advanced platform for generating high-quality data for instruction-based video editing. It combines the power of image and video generators, creating a unique Ditto-1M dataset with one million examples, enabling the training of models like Editto with outstanding results. 🚀Key highlights: - Innovative data generation for video editing. - Unique Ditto-1M dataset with one million examples. - Efficient model architecture to reduce costs and improve quality. - Use of an intelligent agent for filtering and quality control. 📌 GitHub: https://github.com/EzioBy/Ditto

Repost from Machine Learning
In Python, building AI-powered Telegram bots unlocks massive potential for image generation, processing, and automation—master this to create viral tools and ace full-stack interviews! 🤖
# 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"🔥 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.me/DataScienceM 🦾