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Github Top Repositories

Github Top Repositories

Kanalga Telegramโ€™da oโ€˜tish

Top GitHub repositories in one place ๐Ÿš€ Explore the best projects in programming, AI, data science, and more.

Ko'proq ko'rsatish

๐Ÿ“ˆ Telegram kanali Github Top Repositories analitikasi

Github Top Repositories (@githubre) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 13 295 obunachidan iborat bo'lib, Taสผlim toifasida 15 339-o'rinni va Hindiston mintaqasida 32 388-o'rinni egallagan.

๐Ÿ“Š Auditoriya koโ€˜rsatkichlari va dinamika

ะฝะตะฒั–ะดะพะผะพ sanasidan buyon loyiha tez oโ€˜sib, 13 295 obunachiga ega boโ€˜ldi.

11 Iyun, 2026 dagi oxirgi maโ€™lumotlarga koโ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 383 ga, soโ€˜nggi 24 soatda esa 5 ga oโ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya oโ€˜rtacha 1.11% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.75% ini tashkil etuvchi reaksiyalarni toโ€˜playdi.
  • Post qamrovi: Har bir post oโ€˜rtacha 148 marta koโ€˜riladi; birinchi sutkada odatda 99 ta koโ€˜rish yigโ€˜iladi.
  • Reaksiyalar va oโ€˜zaro taโ€™sir: Auditoriya faol: har bir postga oโ€˜rtacha 1 ta reaksiya keladi.
  • Tematik yoโ€˜nalishlar: Kontent repository, fork, programming, statistic, description kabi asosiy mavzularga jamlangan.

๐Ÿ“ Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taโ€™riflaydi:
โ€œTop GitHub repositories in one place ๐Ÿš€ Explore the best projects in programming, AI, data science, and more.โ€

Yuqori yangilanish chastotasi (oxirgi maโ€™lumot 12 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boโ€˜lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Taสผlim toifasidagi muhim taโ€™sir nuqtasiga aylantirishini koโ€˜rsatadi.

13 295
Obunachilar
+524 soatlar
+837 kunlar
+38330 kunlar
Postlar arxiv
๐Ÿ”ฅ Trending Repository: nautilus_trader ๐Ÿ“ Description: A high-performance algorithmic trading platform and event-driven backtester ๐Ÿ”— Repository URL: https://github.com/nautechsystems/nautilus_trader ๐ŸŒ Website: https://nautilustrader.io ๐Ÿ“– Readme: https://github.com/nautechsystems/nautilus_trader#readme ๐Ÿ“Š Statistics: ๐ŸŒŸ Stars: 17.7K stars ๐Ÿ‘€ Watchers: 172 ๐Ÿด Forks: 2.1K forks ๐Ÿ’ป Programming Languages: Rust - Python - Cython - Shell - C - Cap'n Proto ๐Ÿท๏ธ Related Topics:
#python #rust #machine_learning #trading #forex #artificial_intelligence #trading_platform #algorithmic_trading_engine #sports_betting #options_trading #crypto_trading #equity_trading #futures_trading
================================== ๐Ÿง  By: https://t.me/DataScienceM

๐Ÿค– Machine Learning Tutorials Repository 1. Python 2. Computer Vision: Techniques, algorithms 3. NLP 4. Matplotlib 5. NumPy 6
๐Ÿค– Machine Learning Tutorials Repository 1. Python 2. Computer Vision: Techniques, algorithms 3. NLP 4. Matplotlib 5. NumPy 6. Pandas 7. MLOps 8. LLMs 9. PyTorch/TensorFlow git clone https://github.com/patchy631/machine-learning ๐Ÿ”— GitHub: https://github.com/patchy631/machine-learning/tree/main โญ๏ธ https://t.me/DataScienceT

๐Ÿ”ฅ Trending Repository: Paper2Any ๐Ÿ“ Description: Turn paper/text/topic into editable research figures, technical route diagrams, and presentation slides. ๐Ÿ”— Repository URL: https://github.com/OpenDCAI/Paper2Any ๐ŸŒ Website: http://dcai-paper2any.nas.cpolar.cn/ ๐Ÿ“– Readme: https://github.com/OpenDCAI/Paper2Any#readme ๐Ÿ“Š Statistics: ๐ŸŒŸ Stars: 944 stars ๐Ÿ‘€ Watchers: 12 ๐Ÿด Forks: 52 forks ๐Ÿ’ป Programming Languages: Python - TypeScript - Jinja - Shell - CSS - JavaScript ๐Ÿท๏ธ Related Topics:
#agent #ai #ppt_generator #langgraph #aippt #paper2slides #editable_pptx
================================== ๐Ÿง  By: https://t.me/DataScienceM

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YOLO Training Template Manual data labeling has become significantly more convenient. Now the process looks like in the usual labeling systems - you just outline the object with a frame and a bounding box is immediately created. The platform allows: โ€ข to upload your own dataset โ€ข to label manually or auto-label via DINOv3 โ€ข to enrich the data if desired โ€ข to train a #YOLO model on your own data โ€ข to run inference immediately โ€ข to export to ONNX or NCNN, which ensures compatibility with edge hardware and smartphones All of this is available for free and can already be tested on #GitHub. Repo: https://github.com/computer-vision-with-marco/yolo-training-template https://t.me/CodeProgrammer

๐Ÿ”ฅ Trending Repository: AionUi ๐Ÿ“ Description: Free, local, open-source Cowork for Gemini CLI, Claude Code, Codex, Qwen Code, Goose Cli, Auggie, and more | ๐ŸŒŸ Star if you like it! ๐Ÿ”— Repository URL: https://github.com/iOfficeAI/AionUi ๐ŸŒ Website: https://www.aionui.com ๐Ÿ“– Readme: https://github.com/iOfficeAI/AionUi#readme ๐Ÿ“Š Statistics: ๐ŸŒŸ Stars: 3.9K stars ๐Ÿ‘€ Watchers: 25 ๐Ÿด Forks: 330 forks ๐Ÿ’ป Programming Languages: TypeScript - Python - JavaScript ๐Ÿท๏ธ Related Topics:
#chat #ai #skills #excel #chatbot #banana #office #multi_agent #gemini #webui #acp #codex #cowork #ai_agent #llm #gemini_pro #gemini_cli #claude_code #qwen_code #nano_banana
================================== ๐Ÿง  By: https://t.me/DataScienceM

๐Ÿ”ฅ Trending Repository: Gentleman.Dots ๐Ÿ“ Description: My personal configuration for LazyVim ! ๐Ÿ”— Repository URL: https://github.com/Gentleman-Programming/Gentleman.Dots ๐Ÿ“– Readme: https://github.com/Gentleman-Programming/Gentleman.Dots#readme ๐Ÿ“Š Statistics: ๐ŸŒŸ Stars: 1.1K stars ๐Ÿ‘€ Watchers: 23 ๐Ÿด Forks: 178 forks ๐Ÿ’ป Programming Languages: Shell - Go - GLSL - Lua - Nushell - Python ๐Ÿท๏ธ Related Topics: Not available ================================== ๐Ÿง  By: https://t.me/DataScienceM

๐Ÿš€ Master Data Science & Programming! Unlock your potential with this curated list of Telegram channels. Whether you need boo
๐Ÿš€ Master Data Science & Programming! Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today! ๐Ÿ”ฐ Machine Learning with Python Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers. https://t.me/CodeProgrammer ๐Ÿ”– Machine Learning 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. https://t.me/DataScienceM ๐Ÿง  Code With Python This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA โ€“ perfect for learning, coding, and mastering key programming skills. https://t.me/DataScience4 ๐ŸŽฏ PyData Careers | Quiz Python Data Science jobs, interview tips, and career insights for aspiring professionals. https://t.me/DataScienceQ ๐Ÿ’พ Kaggle Data Hub Your go-to hub for Kaggle datasets โ€“ explore, analyze, and leverage data for Machine Learning and Data Science projects. https://t.me/datasets1 ๐Ÿง‘โ€๐ŸŽ“ Udemy Coupons | Courses The first channel in Telegram that offers free Udemy coupons https://t.me/DataScienceC ๐Ÿ˜€ ML Research Hub Advancing research in Machine Learning โ€“ practical insights, tools, and techniques for researchers. https://t.me/DataScienceT ๐Ÿ’ฌ Data Science Chat An active community group for discussing data challenges and networking with peers. https://t.me/DataScience9 ๐Ÿ Python Arab| ุจุงูŠุซูˆู† ุนุฑุจูŠ The largest Arabic-speaking group for Python developers to share knowledge and help. https://t.me/PythonArab ๐Ÿ–Š Data Science Jupyter Notebooks Explore the world of Data Science through Jupyter Notebooksโ€”insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post. https://t.me/DataScienceN ๐Ÿ“บ Free Online Courses | Videos Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners. https://t.me/DataScienceV ๐Ÿ“ˆ Data Analytics Dive into the world of Data Analytics โ€“ uncover insights, explore trends, and master data-driven decision making. https://t.me/DataAnalyticsX ๐ŸŽง Learn Python Hub Master Python with step-by-step courses โ€“ from basics to advanced projects and practical applications. https://t.me/Python53 โญ๏ธ Research Papers Professional Academic Writing & Simulation Services https://t.me/DataScienceY โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ” Admin: @HusseinSheikho

๐ŸŽโ—๏ธTODAY FREEโ—๏ธ๐ŸŽ Entry to our VIP channel is completely free today. Tomorrow it will cost $500! ๐Ÿ”ฅ JOIN ๐Ÿ‘‡ https://t.me/+DB
๐ŸŽโ—๏ธTODAY FREEโ—๏ธ๐ŸŽ Entry to our VIP channel is completely free today. Tomorrow it will cost $500! ๐Ÿ”ฅ JOIN ๐Ÿ‘‡ https://t.me/+DBdNGbxImzgxMDBi https://t.me/+DBdNGbxImzgxMDBi https://t.me/+DBdNGbxImzgxMDBi

๐Ÿ”ฅ Trending Repository: mediapipe ๐Ÿ“ Description: Cross-platform, customizable ML solutions for live and streaming media. ๐Ÿ”— Repository URL: https://github.com/google-ai-edge/mediapipe ๐ŸŒ Website: https://ai.google.dev/edge/mediapipe ๐Ÿ“– Readme: https://github.com/google-ai-edge/mediapipe#readme ๐Ÿ“Š Statistics: ๐ŸŒŸ Stars: 33.1K stars ๐Ÿ‘€ Watchers: 520 ๐Ÿด Forks: 5.7K forks ๐Ÿ’ป Programming Languages: C++ - Python - Starlark - Java - Objective-C - Objective-C++ ๐Ÿท๏ธ Related Topics:
#android #c_plus_plus #calculator #machine_learning #framework #computer_vision #deep_learning #inference #pipeline_framework #stream_processing #video_processing #perception #mobile_development #audio_processing #graph_framework #graph_based #mediapipe
================================== ๐Ÿง  By: https://t.me/DataScienceM

๐Ÿ”ฅ Trending Repository: cilium ๐Ÿ“ Description: eBPF-based Networking, Security, and Observability ๐Ÿ”— Repository URL: https://github.com/cilium/cilium ๐ŸŒ Website: https://cilium.io ๐Ÿ“– Readme: https://github.com/cilium/cilium#readme ๐Ÿ“Š Statistics: ๐ŸŒŸ Stars: 23.3K stars ๐Ÿ‘€ Watchers: 307 ๐Ÿด Forks: 3.5K forks ๐Ÿ’ป Programming Languages: Go - C - Shell - Makefile - Python - Dockerfile ๐Ÿท๏ธ Related Topics:
#kubernetes #security #networking #monitoring #kernel #containers #cncf #k8s #ebpf #xdp #troubleshooting #observability #cni #loadbalancing #bpf #kubernetes_networking
================================== ๐Ÿง  By: https://t.me/DataScienceM

๐Ÿ”ฅ Trending Repository: eigent ๐Ÿ“ Description: Eigent: The Open Source Cowork Desktop to Unlock Your Exceptional Productivity. ๐Ÿ”— Repository URL: https://github.com/eigent-ai/eigent ๐ŸŒ Website: https://www.eigent.ai ๐Ÿ“– Readme: https://github.com/eigent-ai/eigent#readme ๐Ÿ“Š Statistics: ๐ŸŒŸ Stars: 5.1K stars ๐Ÿ‘€ Watchers: 31 ๐Ÿด Forks: 621 forks ๐Ÿ’ป Programming Languages: TypeScript - Python - JavaScript - CSS - PowerShell - Shell ๐Ÿท๏ธ Related Topics: Not available ================================== ๐Ÿง  By: https://t.me/DataScienceM

Do you want to teach AI on real projects? In this #repository, there are 29 projects with Generative #AI,#MachineLearning, an
Do you want to teach AI on real projects? In this #repository, there are 29 projects with Generative #AI,#MachineLearning, and #Deep +Learning. With full #code for each one. This is pure gold: https://github.com/KalyanM45/AI-Project-Gallery ๐Ÿ‘‰ https://t.me/CodeProgrammer

7 Most Important Regression Techniques in Data Science
7 Most Important Regression Techniques in Data Science

๐Ÿ”ฅ Trending Repository: rancher ๐Ÿ“ Description: Complete container management platform ๐Ÿ”— Repository URL: https://github.com/rancher/rancher ๐ŸŒ Website: http://rancher.com ๐Ÿ“– Readme: https://github.com/rancher/rancher#readme ๐Ÿ“Š Statistics: ๐ŸŒŸ Stars: 25.1K stars ๐Ÿ‘€ Watchers: 622 ๐Ÿด Forks: 3.1K forks ๐Ÿ’ป Programming Languages: Go - Python - Shell - Groovy - HCL - Dockerfile ๐Ÿท๏ธ Related Topics:
#docker #kubernetes #containers #rancher #orchestration #cattle
================================== ๐Ÿง  By: https://t.me/DataScienceM

๐Ÿ”ฅ Trending Repository: RemoveWindowsAI ๐Ÿ“ Description: Force Remove Copilot, Recall and More in Windows 11 ๐Ÿ”— Repository URL: https://github.com/zoicware/RemoveWindowsAI ๐Ÿ“– Readme: https://github.com/zoicware/RemoveWindowsAI#readme ๐Ÿ“Š Statistics: ๐ŸŒŸ Stars: 8.3K stars ๐Ÿ‘€ Watchers: 103 ๐Ÿด Forks: 257 forks ๐Ÿ’ป Programming Languages: PowerShell ๐Ÿท๏ธ Related Topics:
#windows #security #privacy #ai #powershell #rewrite #optimizer #recall #bloatware #copilot #debloat #bloatware_removal #image_creator #generative_ai
================================== ๐Ÿง  By: https://t.me/DataScienceM

๐Ÿ”ฅ Trending Repository: cursor-talk-to-figma-mcp ๐Ÿ“ Description: TalkToFigma: MCP integration between Cursor and Figma, allowing Cursor Agentic AI to communicate with Figma for reading designs and modifying them programmatically. ๐Ÿ”— Repository URL: https://github.com/grab/cursor-talk-to-figma-mcp ๐ŸŒ Website: https://x.com/sonnylazuardi/status/1901325190388428999 ๐Ÿ“– Readme: https://github.com/grab/cursor-talk-to-figma-mcp#readme ๐Ÿ“Š Statistics: ๐ŸŒŸ Stars: 5.9K stars ๐Ÿ‘€ Watchers: 39 ๐Ÿด Forks: 634 forks ๐Ÿ’ป Programming Languages: JavaScript - HTML - TypeScript ๐Ÿท๏ธ Related Topics:
#agent #design #automation #ai #mcp #cursor #figma #ai_agents #llm #llms #generative_ai #agentic #agentic_ai #model_context_protocol
================================== ๐Ÿง  By: https://t.me/DataScienceM

๐Ÿ”ฅ Trending Repository: ansible-collection-hardening ๐Ÿ“ Description: This Ansible collection provides battle tested hardening for Linux, SSH, nginx, MySQL ๐Ÿ”— Repository URL: https://github.com/dev-sec/ansible-collection-hardening ๐ŸŒ Website: http://dev-sec.io/ ๐Ÿ“– Readme: https://github.com/dev-sec/ansible-collection-hardening#readme ๐Ÿ“Š Statistics: ๐ŸŒŸ Stars: 4.9K stars ๐Ÿ‘€ Watchers: 117 ๐Ÿด Forks: 796 forks ๐Ÿ’ป Programming Languages: Jinja ๐Ÿท๏ธ Related Topics:
#linux #nginx #ansible #protection #collection #playbook #role #devsec #hardening #hacktoberfest #sysctl #ansible_collection #os_hardening #mysql_hardening #ssh_hardening #nginx_hardening
================================== ๐Ÿง  By: https://t.me/DataScienceM

200$ to 20k$ SOL Challenge! As promised, i will do another challenge for those who missed the previous one! Last one we compl
200$ to 20k$ SOL Challenge! As promised, i will do another challenge for those who missed the previous one! Last one we completed in 6 days, letโ€™s do this one even quicker! Join my free group Before closing ๐Ÿ‘‡ https://t.me/+DAKLP7eUy9Y3ZjY0 #ad InsideAds

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