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Tags: System design

1.khangich / machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

interview-preparation
deep-learning
system-design
mvp
interivew
machine-learning
+2 more

No license13K total2K forks

+29 stars

from 12,825 · score 3.40

2.aalansehaiyang / technology-talk

Translated[Big Tech Interview Column] A technical guide for Java programmers, with interview questions, system architecture, career tips, mainstream middleware, and more, to help you become an even better version of yourself!

java
spring
springboot
dubbo
kafka
git
+4 more

No license15K total3.8K forks

+21 stars

from 14,721 · score 3.09

3.davideuler / architecture.of.internet-product

TranslatedTechnical architecture of internet companies: the architectures of WeChat/Taobao/Weibo/Tencent/Alibaba/Meituan-Dianping/Baidu/OpenAI/Google/Facebook/Amazon/eBay. PRs to add more are welcome

architecture
architecture-guidelines
internet-architecutre
architecture-of-internet-product
chatgpt
dall-e-3
+4 more

HTML No license21K total4.7K forks

+19 stars

from 20,769 · score 3.00

4.qiurunze123 / miaosha

Translated⭐⭐⭐⭐Flash sale (seckill) system design and implementation. Advancement and analysis for internet engineers 🙋🐓

Java No license27K total6.5K forks

+6 stars

from 26,560 · score 1.95

Order: Attention Score

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Ranked by stars gained in the window. The score is the natural log of one plus that gain, so a repository's rank is exactly its star gain's rank.

score = log1p(net stars gained in the trailing T complete UTC days)

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The filters select from the same eligible repositories. A repository matches the topics when it has any of them. Total stars is the count now. Last push and creation on the Repository Host count back from the start of today (UTC). The counts beside the languages, licenses, and topics include all ranked repositories in the window. A Tag holds the repositories that have it. See Tags.

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