# ZiyuanDu/deepinfer-unpacked

> A community-driven project unpacking the DeepInfer source code: contributors build bilingual (Chinese/English) tutorials covering the system architecture, theory, code, and hands-on examples.

- Magnitude: 1.8 out of 10 — Cooling
- Stars: 114 total · +0 stars measured 2026-10-24, 00:03–01:30 UTC, ≈ 8 by evening
- Star trust: star growth looks organic
- Category: Learning & lists · Language: Python · License: Apache-2.0 · Created: 2026-10-21 · Last push: 2026-10-22
- GitHub: https://github.com/ZiyuanDu/deepinfer-unpacked · Page: https://gitnova.dev/en/r/ZiyuanDu/deepinfer-unpacked

## Useful for

- Study DeepInfer architecture module by module from scheduling to parallelism
- Understand external components like FlashMLA, DeepGEMM, DeepEP and TileLang
- Run hands-on experiments from the tutorials directory

## Why it’s here

- Star-counter measurements on 2026-10-24 (UTC), 00:03–01:30: 114 → 114 stars (+0). This is the change over that interval.
- Estimated end-of-day forecast: about +8 stars, using observed gains and the previous day.
- The repository is 3 days old and already has 114 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #199.
- About 5 forks a day — people are taking the code.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 12
- Issues and pull requests: 7
- Watchers: 1
- Average over the last week: 26 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 0

## Stars per day, last 4 days (oldest → newest, today is partial)

2026-10-21 … 2026-10-24: 50, 38, 9, 0

## Spotted in now

- Top new repositories this week: #199

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-24 01:35 UTC, updated every 30 minutes.