我们知道，在90年代神经网络只是机器学习很小的一部分，为什么经过近30年的发展，深度学习或者更小化范围说大模型成为了一种主流，这是一系列介绍深度学习理论的学习笔记，期望通过梳理深度学习的理论发展和相关研究，探讨大模型框架的有效性（为什么是这样的结构），以及可能还有哪些潜在的框架结构（我们知道人工智能的发展经历了几起几落，说不定什么时候可�
active 2025-11-27 → 2025-11-27 (UTC)
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Line chart, 1 days from 2025-11-27 to 2025-11-27. Pushes: 2 total, peak 2 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
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Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
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- Pull request#1Copilot2025-11-27 04:20
- Pull request#1Copilot2025-11-27 04:20
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.