Compare is the decision workspace
Visibility winner
Chalarangelo/30-seconds-of-code
127.3K stars
Use this as the long-horizon mindshare read, not as the final answer.
Freshness winner
Chalarangelo/30-seconds-of-code
+100 in the weekly window
Last commit Mar 26, 2026
Adoption winner
scutan90/DeepLearning-500-questions
Package mapping still partial
GitStar keeps the comparison directional when linked package telemetry is missing.
Data completeness
Comparison confidence
0/2 package links
1/2 repos have weekly momentum in the current snapshot.
Set the comparison frame before you read the verdict.
Compare up to three repositories with comma-separated owner/repo names. GitStar keeps missing package or momentum data explicit instead of flattening it into a false zero.
Visibility and freshness are readable here, but adoption proof is still uneven.
Chalarangelo/30-seconds-of-code currently leads on long-horizon mindshare with the strongest star base in this comparison. Package mapping is still partial, so this comparison cannot declare a clean adoption winner yet.
GitStar keeps cross-repository gaps visible. Missing package mappings or partial momentum data lower confidence, but they do not stop the page from showing a directional read.
Chalarangelo/30-seconds-of-code currently leads on long-horizon mindshare with the strongest star base in this comparison.
Stars are strongest at showing durable visibility, not direct production fit.
Chalarangelo/30-seconds-of-code has the strongest current movement signal in this set.
Weekly movement is +100 in the weekly window.
Package mapping is still partial, so this comparison cannot declare a clean adoption winner yet.
Treat this as a directional evaluation and verify ecosystem usage directly from package registries.
This comparison lives in the same learning lane, so package usage and repo detail should carry more weight than raw stars alone.
Shared category overlap makes the comparison more decision-useful than a random popularity matchup.
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
- 57.4K stars
- 16K forks
- Last commit Jun 26, 2024
- No linked package mapping yet
Coding articles to level up your development skills
- 127.3K stars
- 12.5K forks
- Last commit Mar 26, 2026
- No linked package mapping yet