Github Top Repositories

Open in Telegram

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

📈 Analytical overview of Telegram channel Github Top Repositories

Channel Github Top Repositories (@githubre) in the English language segment is an active participant. Currently, the community unites 13 307 subscribers, ranking 15 308 in the Education category and 32 286 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 13 307 subscribers.

According to the latest data from 13 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 393 over the last 30 days and by 6 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 1.10%. Within the first 24 hours after publication, content typically collects 0.75% reactions from the total number of subscribers.
Post reach: On average, each post receives 146 views. Within the first day, a publication typically gains 100 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
Thematic interests: Content is focused on key topics such as repository, fork, programming, statistic, description.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Top GitHub repositories in one place 🚀 Explore the best projects in programming, AI, data science, and more.”

Thanks to the high frequency of updates (latest data received on 14 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

13 307

Subscribers

+624 hours

+887 days

+39330 days

146

Post views

~ 10024 hours

~ 11348 hours

1.10%

Engagement rate

~ 41

Posts per day

Ads index

beta

Posts Archive

13 307

🔥 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

13 307

🔥 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

13 307

🔥 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

13 307

🔥 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

13 307

Repost from Kaggle Data Hub

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

13 307

Repost from Machine Learning with Python

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

13 307

🔥 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

13 307

🔥 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

13 307

🔥 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

13 307

🔥 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

13 307

🔥 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

13 307

Repost from Machine Learning with Python

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_rRW2scgfRhOTc0 ✅ https://t.me/Codeprogrammer

13 307

Repost from Machine Learning with Python

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

13 307

🔥 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

13 307

🔥 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

13 307

🔥 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

13 307

🔥 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

13 307

🎥 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

13 307

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 🦾