🎯 Trackers Library is Officially Released! 🚀

If you're working in computer vision and object tracking, this one's for you!

💡 Trackers is a powerful open-source library with support for a wide range of detection models and tracking algorithms:

✅ Plug-and-play compatibility with detection models from:
Roboflow Inference, Hugging Face Transformers, Ultralytics, MMDetection, and more!

✅ Tracking algorithms supported:
SORT, DeepSORT, and advanced trackers like StrongSORT, BoT‑SORT, ByteTrack, OC‑SORT – with even more coming soon!

🧩 Released under the permissive Apache 2.0 license – free for everyone to use and contribute.

👏 Huge thanks to Piotr Skalski for co-developing this library, and to Raif Olson and Onuralp SEZER for their outstanding contributions!

📌 Links:
🔗 GitHub
🔗 Docs


📚 Quick-start notebooks for SORT and DeepSORT are linked 👇🏻
https://www.linkedin.com/posts/skalskip92_trackers-library-is-out-plugandplay-activity-7321128111503253504-3U6-?utm_source=share&utm_medium=member_desktop&rcm=ACoAAEXwhVcBcv2n3wq8JzEai3TfWmKLRLTefYo


#ComputerVision #ObjectTracking #OpenSource #DeepLearning #AI


📡 By: https://xn--r1a.website/DataScienceN

🔥 Trending Repository: nanobrowser

📝 Description: Open-Source Chrome extension for AI-powered web automation. Run multi-agent workflows using your own LLM API key. Alternative to OpenAI Operator.

🔗 Repository URL: https://github.com/nanobrowser/nanobrowser

🌐 Website: https://nanobrowser.ai

📖 Readme: https://github.com/nanobrowser/nanobrowser#readme

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🔥 Trending Repository: server

📝 Description: ☁️ Nextcloud server, a safe home for all your data

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📝 Description: 🚀 An open and lightweight modification to Windows, designed to optimize performance, privacy and usability.

🔗 Repository URL: https://github.com/Atlas-OS/Atlas

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📖 Readme: https://github.com/Atlas-OS/Atlas#readme

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📝 Description: Open source alternative to AWS. Elastic compute, block storage (non replicated), firewall and load balancer, managed Postgres, K8s, AI inference, and IAM services.

🔗 Repository URL: https://github.com/ubicloud/ubicloud

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📝 Description: A collaborative note taking, wiki and documentation platform that scales. Built with Django and React.

🔗 Repository URL: https://github.com/suitenumerique/docs

🌐 Website: https://docs.numerique.gouv.fr

📖 Readme: https://github.com/suitenumerique/docs#readme

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📝 Description: FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.

🔗 Repository URL: https://github.com/Fincept-Corporation/FinceptTerminal

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Duplicati – a free, open-source tool for encrypted and deduplicated backup 🛡️🔐

It stores data as encrypted blocks in a local folder, on an external drive, or in the cloud ☁️💾

Duplicati is focused on automatic, scheduled backups with a web interface, making it convenient for home users 🏠📅

Languages: C# (93.0%), JavaScript (3.0%), HTML (1.6%), ... 💻📊

⭐️ Star 14.4k

https://github.com/duplicati/duplicati 🔗🌐

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LiteParse v2.1 — the fastest PDF → Markdown parser in the world 🚀

And at the same time, it's more accurate than any other open-source parser without using models (pymupdf4llm, opendataloader, pdf-inspector, markitdown) according to the results of three standardized benchmarks: olmOCR0-bench, opendataloader-bench, and ParseBench. 📊

Introducing LiteParse v2.1. The base version of LiteParse v2 was already the fastest document-to-text parser on the market, and in this release, Markdown support has been added. ✨

The project is completely open (Apache 2.0 license) and free. It's available via CLI, Rust, Node.js, Python, and WASM, and can also be installed as an agent skill in one click. 🛠️

More details: https://llamaindex.ai/blog/markdown-comes-to-liteparse

LiteParse repository: https://github.com/run-llama/liteparse

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💼 20 GitHub Repositories to Help You Get Hired

1. coding-interview-university
A complete self-study roadmap originally created to prepare for Google software engineering interviews.

2. awesome-interview-questions
A curated collection of technical interview questions across dozens of programming languages and technologies.

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One of the best resources for mastering system design interviews at top tech companies.

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A massive collection of free APIs you can use to build real-world portfolio projects.

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Thousands of free programming books, courses, and learning resources in multiple languages.

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A step-by-step guide that teaches you how to make your first pull request.

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Practice rebuilding real company websites to improve your frontend development skills.

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Realistic UI challenges that help you build an employer-ready frontend portfolio.

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A professional, ATS-friendly resume template widely used by software engineers.

14. The Algorithms
A huge collection of algorithms and data structures implemented in dozens of programming languages.

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Covers coding interviews, behavioral interviews, resume tips, salary negotiation, and more.

16. awesome
The original Awesome list containing thousands of carefully curated developer resources.

17. realworld
Build the same production-grade application in different frameworks to learn industry architecture.

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Find beginner-friendly open source projects to make your first GitHub contributions.

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A collection of programming and DevOps cheat sheets for quick reference during development.

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A curated collection of the best tech job boards, including remote, startup, and developer-focused hiring platforms.

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