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Github Top Repositories

Github Top Repositories

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

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πŸ“ˆ 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 13 272 subscribers, ranking 15 356 in the Education category and 32 458 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 13 272 subscribers.

According to the latest data from 10 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 387 over the last 30 days and by 25 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 1.12%. Within the first 24 hours after publication, content typically collects 0.74% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 148 views. Within the first day, a publication typically gains 98 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.

πŸ“ Description and content policy

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

Thanks to the high frequency of updates (latest data received on 11 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.

13 272
Subscribers
+2524 hours
+867 days
+38730 days
Posts Archive
πŸ”₯ Trending Repository: sherlock πŸ“ Description: Hunt down social media accounts by username across social networks πŸ”— Repository URL: https://github.com/sherlock-project/sherlock 🌐 Website: https://sherlockproject.xyz πŸ“– Readme: https://github.com/sherlock-project/sherlock#readme πŸ“Š Statistics: 🌟 Stars: 74.3k πŸ‘€ Watchers: 1.2k 🍴 Forks: 8.8k πŸ’» Programming Languages: Python - Dockerfile - Shell 🏷️ Related Topics:
#python #linux #cli #osint #tools #sherlock #python3 #forensics #cybersecurity #infosec #pentesting #cti #hacktoberfest #information_gathering #reconnaissance #redteam
================================== 🧠 By: https://t.me/DataScienceM

πŸ”₯ Trending Repository: freeCodeCamp πŸ“ Description: freeCodeCamp.org's open-source codebase and curriculum. Learn math, programming, and computer science for free. πŸ”— Repository URL: https://github.com/freeCodeCamp/freeCodeCamp 🌐 Website: https://contribute.freecodecamp.org πŸ“– Readme: https://github.com/freeCodeCamp/freeCodeCamp#readme πŸ“Š Statistics: 🌟 Stars: 439k πŸ‘€ Watchers: 8.5k 🍴 Forks: 43.9k πŸ’» Programming Languages: TypeScript - JavaScript - CSS - Dockerfile - HCL - Shell 🏷️ Related Topics:
#react #nodejs #javascript #d3 #teachers #community #education #programming #curriculum #math #freecodecamp #learn_to_code #nonprofits #careers #certification
================================== 🧠 By: https://t.me/DataScienceM

πŸ”₯ Trending Repository: claude-howto πŸ“ Description: A visual, example-driven guide to Claude Code β€” from basic concepts to advanced agents, with copy-paste templates that bring immediate value. πŸ”— Repository URL: https://github.com/luongnv89/claude-howto πŸ“– Readme: https://github.com/luongnv89/claude-howto#readme πŸ“Š Statistics: 🌟 Stars: πŸ‘€ Watchers: 33 🍴 Forks: πŸ’» Programming Languages: Python - Shell - JavaScript 🏷️ Related Topics:
#tutorial #guide #claude_code
================================== 🧠 By: https://t.me/DataScienceM

πŸ”₯ Trending Repository: fastfetch πŸ“ Description: A maintained, feature-rich and performance oriented, neofetch like system information tool. πŸ”— Repository URL: https://github.com/fastfetch-cli/fastfetch πŸ“– Readme: https://github.com/fastfetch-cli/fastfetch#readme πŸ“Š Statistics: 🌟 Stars: 21k πŸ‘€ Watchers: 54 🍴 Forks: 710 πŸ’» Programming Languages: C - CMake - C++ - Objective-C 🏷️ Related Topics:
#fetch #terminal #command_line #neofetch #hacktoberfest #winfetch #fastfetch #flashfetch #macfetch #bsdfetch
================================== 🧠 By: https://t.me/DataScienceM

Play for Fun - 15 Seconds to Win! Playw3 Most Popular 2025 Social Gaming Platform, Join Now (no VPN) Ad. 18+
Play for Fun - 15 Seconds to Win! Playw3 Most Popular 2025 Social Gaming Platform, Join Now (no VPN) Ad. 18+

Play for Fun - 15 Seconds to Win! Playw3 Most Popular 2025 Social Gaming Platform, Join Now (no VPN) Ad. 18+
Play for Fun - 15 Seconds to Win! Playw3 Most Popular 2025 Social Gaming Platform, Join Now (no VPN) Ad. 18+

πŸ”₯ Trending Repository: FreeCAD πŸ“ Description: Official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler. πŸ”— Repository URL: https://github.com/FreeCAD/FreeCAD 🌐 Website: https://www.freecad.org πŸ“– Readme: https://github.com/FreeCAD/FreeCAD#readme πŸ“Š Statistics: 🌟 Stars: 29.4k πŸ‘€ Watchers: 538 🍴 Forks: 5.3k πŸ’» Programming Languages: C++ - Python - C - CMake - NSIS - Lex 🏷️ Related Topics:
#windows #macos #linux #engineering #architecture #cad #fem #coin #bim #freecad #cam #3d_printing #3d #opencascade
================================== 🧠 By: https://t.me/DataScienceM

πŸ”₯ Trending Repository: AI-Scientist-v2 πŸ“ Description: The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search πŸ”— Repository URL: https://github.com/SakanaAI/AI-Scientist-v2 πŸ“– Readme: https://github.com/SakanaAI/AI-Scientist-v2#readme πŸ“Š Statistics: 🌟 Stars: 2.6k πŸ‘€ Watchers: 34 🍴 Forks: 459 πŸ’» Programming Languages: Python - TeX - BibTeX Style - JavaScript - HTML 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

πŸ”₯ Trending Repository: mcp-server-guide πŸ“ Description: A guide on how to use the Figma MCP server πŸ”— Repository URL: https://github.com/figma/mcp-server-guide 🌐 Website: https://help.figma.com/hc/en-us/articles/32132100833559-Guide-to-the-Dev-Mode-MCP-Server πŸ“– Readme: https://github.com/figma/mcp-server-guide#readme πŸ“Š Statistics: 🌟 Stars: 682 πŸ‘€ Watchers: 7 🍴 Forks: 52 πŸ’» Programming Languages: JavaScript 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

πŸ”₯ Trending Repository: chandra πŸ“ Description: OCR model that handles complex tables, forms, handwriting with full layout. πŸ”— Repository URL: https://github.com/datalab-to/chandra 🌐 Website: https://www.datalab.to πŸ“– Readme: https://github.com/datalab-to/chandra#readme πŸ“Š Statistics: 🌟 Stars: 5.7k πŸ‘€ Watchers: 50 🍴 Forks: 637 πŸ’» Programming Languages: Python - HTML 🏷️ Related Topics:
#ocr #ai
================================== 🧠 By: https://t.me/DataScienceM

πŸ”₯ Trending Repository: insanely-fast-whisper πŸ“ Description: No description available πŸ”— Repository URL: https://github.com/Vaibhavs10/insanely-fast-whisper πŸ“– Readme: https://github.com/Vaibhavs10/insanely-fast-whisper#readme πŸ“Š Statistics: 🌟 Stars: 10.5k πŸ‘€ Watchers: 79 🍴 Forks: 775 πŸ’» Programming Languages: Jupyter Notebook - Python 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

πŸ”₯ Trending Repository: oh-my-claudecode πŸ“ Description: Teams-first Multi-agent orchestration for Claude Code πŸ”— Repository URL: https://github.com/Yeachan-Heo/oh-my-claudecode 🌐 Website: https://yeachan-heo.github.io/oh-my-claudecode-website πŸ“– Readme: https://github.com/Yeachan-Heo/oh-my-claudecode#readme πŸ“Š Statistics: 🌟 Stars: πŸ‘€ Watchers: 38 🍴 Forks: 802 πŸ’» Programming Languages: TypeScript - JavaScript 🏷️ Related Topics:
#automation #opencode #multi_agent_systems #ai_agents #claude #parallel_execution #vibe_coding #claude_code #agentic_coding #oh_my_opencode
================================== 🧠 By: https://t.me/DataScienceM

Pay for AI Services with Crypto Pay2.House Use crypto to pay for AI tools and subscriptions easily. βœ” ChatGPT, SaaS and more
Pay for AI Services with Crypto Pay2.House Use crypto to pay for AI tools and subscriptions easily. βœ” ChatGPT, SaaS and more βœ” Works worldwide πŸ’³ Virtual card πŸ’° Issue β€” $5 πŸ”Έ Start from $50 Ad. 18+

πŸ”₯ Trending Repository: claude-subconscious πŸ“ Description: Give Claude Code a subconscious πŸ”— Repository URL: https://github.com/letta-ai/claude-subconscious πŸ“– Readme: https://github.com/letta-ai/claude-subconscious#readme πŸ“Š Statistics: 🌟 Stars: 1.3k πŸ‘€ Watchers: 14 🍴 Forks: 101 πŸ’» Programming Languages: TypeScript - C# - JavaScript - PowerShell 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

πŸ”₯ Trending Repository: litellm πŸ“ Description: Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM] πŸ”— Repository URL: https://github.com/BerriAI/litellm 🌐 Website: https://docs.litellm.ai/docs/ πŸ“– Readme: https://github.com/BerriAI/litellm#readme πŸ“Š Statistics: 🌟 Stars: 40.4k πŸ‘€ Watchers: 173 🍴 Forks: 6.7k πŸ’» Programming Languages: Python - TypeScript - HTML - JavaScript - Shell - Makefile 🏷️ Related Topics:
#gateway #bedrock #openai #vertex_ai #azure_openai #llm #langchain #llmops #anthropic #openai_proxy #litellm #ai_gateway #llm_gateway #mcp_gateway
================================== 🧠 By: https://t.me/DataScienceM

πŸ”₯ Trending Repository: last30days-skill πŸ“ Description: AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary πŸ”— Repository URL: https://github.com/mvanhorn/last30days-skill πŸ“– Readme: https://github.com/mvanhorn/last30days-skill#readme πŸ“Š Statistics: 🌟 Stars: 4.8k πŸ‘€ Watchers: 31 🍴 Forks: 530 πŸ’» Programming Languages: Python - Shell 🏷️ Related Topics:
#instagram #youtube #social_media #twitter #research #reddit #hackernews #trends #claude #web_search #bluesky #recency #tiktok #ai_prompts #polymarket #deep_research #claude_code #ai_skill #openclaw #clawhub
================================== 🧠 By: https://t.me/DataScienceM

πŸ”₯ Trending Repository: editor πŸ“ Description: No description available πŸ”— Repository URL: https://github.com/pascalorg/editor 🌐 Website: https://editor.pascal.app πŸ“– Readme: https://github.com/pascalorg/editor#readme πŸ“Š Statistics: 🌟 Stars: 4k πŸ‘€ Watchers: 43 🍴 Forks: 621 πŸ’» Programming Languages: TypeScript - Shell 🏷️ Related Topics: Not available ================================== 🧠 By: https://t.me/DataScienceM

⚑️ Colorizing old black-and-white videos and "bringing faces to life" for FREE SVFR β€” a full-fledged framework for restoring
+2
⚑️ Colorizing old black-and-white videos and "bringing faces to life" for FREE SVFR β€” a full-fledged framework for restoring faces in videos. It can: πŸ’¬ BFR β€” improve blurry faces. πŸ’¬ Colorization β€” colorize black-and-white videos. πŸ’¬ Inpainting β€” redraw damaged areas. πŸ’¬ and combine all of this in one pass. Essentially, the model takes old or damaged videos and makes them "as if they were shot yesterday". And it's free and open-source. βš™οΈ Installation locally: 1. Create an environment
conda create -n svfr python=3.9 -y
conda activate svfr
2. Install PyTorch (for your CUDA)
pip install torch==2.2.2 torchvision==0.17.2 torchaudio==2.2.2
3. Install dependencies
pip install -r requirements.txt
4. Download models
conda install git-lfs
git lfs install
git clone https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt models/stable-video-diffusion-img2vid-xt
5. Start processing videos
python infer.py \
--config config/infer.yaml \
--task_ids 0 \
--input_path input.mp4 \
--output_dir results/ \
--crop_face_region
Where task_ids: * 0 β€” face enhancement * 1 β€” colorization * 2 β€” redrawing damage An ideal tool if: 🟒you're restoring archival videos; 🟒you're creating historical content; 🟒you're working with neural networks and video effects; 🟒you want a wow result without paid services. ▢️ Demo on Hugging Face β™ŽοΈ GitHub/Instructions #python #soft #github https://t.me/CodeProgrammer

A5.VIP A5.VIP πŸ”₯η™ΎδΊΏζ‰“ι€ οΌŒεͺεšθ‘ŒδΈšη¬¬δΈ€ε“η‰ŒοΌζ”―ζŒδΊΊζ°‘εΈοΌŒU双币种πŸ”₯η‚Έι‡‘θŠ±γ€ζŠ’εΊ„η‰›η‰›γ€εΎ·ε·žζ‰‘ε…‹γ€ζ–—εœ°δΈ»πŸ”₯ε€§ζˆ·ι¦–ι€‰οΌηˆ†ηŽ‡δΈζ–­οΌδΈ€η«™εΌδΎΏζ·δ½“ιͺŒοΌπŸ”₯福利丰富,俑θͺ‰ζœ‰δΏιšœοΌ Ad. 18+
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Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
Follow the Machine Learning with Python channel on WhatsApp: https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A