Lightly – A Python library for self-supervised learning on images
A python library for self-supervised learning on images. - lightly-ai/lightly
Lightly – A Python library for self-supervised learning on images launched on November 17, 2023 with 5 votes, #1,745 of 4,333 launches that month and more than 50% of that year's launches. The site was still online in September 2026, 2 years on.
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I wrote a minimal deep learning library from scratch in Python2021 · github.com · ▲25A minimalist deep learning library written from scratch in Python - sradc/SmallPebble

I am building a new Python library to read/write PDF files2022 · github.com · ▲279Hi HN! This is my pet project, written from scratch because there is so much to discover and learn in the process. The focus is on simplicity and incremental updates. Progress is slow because I do not have much spare time to work on this, but I would love to hear some feedback. Regards
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DeepFace – A lightweight deep face recognition library for Python2025 · github.com · ▲257DeepFace is a leading open-source library for facial recognition and facial attribute analysis, and the de facto standard in Python. It wraps multiple state-of-the-art models that have reached — and even surpassed — human-level accuracy in recognizing faces. By the numbers (as of early 2025): 15,000+ stars on GitHub; ~4 million installations via pip; 800+ citations in academic papers Whether you're building a cutting-edge AI project or simply exploring facial recognition, DeepFace makes advanced capabilities accessible with just a few lines of code.

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SpeedVitals▲829Hi HN, I’m Kashish, one of the co-founders of SpeedVitals, a platform for testing & monitoring website performance with a major emphasis on Core Web Vitals. Until now, our platform has only focused on Synthetic/Lab testing, such as Lighthouse tests and TTFB tests. But now, we have developed a Real-User Monitoring platform that doubles up as a Web Analytics tool. One major feature we have that most RUM tools lack is Performance Audits. Just like Lighthouse audits work on Lab test data, our audits work across all the real-user visits and gives suggestions on what task to prioritize first.…
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