navaneethkrishnansuresh/Inference-Engineering
- Total stars
- 118
- Today
- +0
More actions
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About the project
A hands-on course on LLM inference engineering covering what happens when a model serves a request: tokenization, prefill, decode, KV cache, scheduling and batching. Aimed at developers who want to understand the runtime side of model serving.
Useful for
- Work through Chapter 1 to manually implement LLM token generation from first principles
- Study how KV cache grows and where GPU memory goes during inference
- Learn request scheduling and continuous batching to improve throughput
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate. Read the original README →
Star growth looks organic. Data as of September 30, 2026, 23:58 UTC.
The star-growth assessment does not verify whether the project is safe to run.
Stars per day
Bars show stars per UTC day; the line is a moving average of available history. Gaps mean missing data, not zero growth. Today's bar is incomplete. Red marks spike days.
Why it’s trending
- The repository is 16 days old and already has 118 stars.
Measured growth: the last 7 completed days
The full 7-day window is unavailable; no weekly total or comparison is calculated.
Daily measurements · UTC
- October 26, 2026
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- October 27, 2026
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- October 28, 2026
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- October 29, 2026
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- October 30, 2026
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- October 31, 2026
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- November 1, 2026
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Completed days come from GitHub star history; today and forecasts are excluded from this comparison. History checked: September 29, 2026, 00:16 UTC. Sources and measurement limits →
Three GitHub discoveries in each edition
What they do, why they are gaining interest, and what to check before using them.
Editions at 10:00, 16:00, 22:00 MSK.
Numbers
- Total stars
- 118
- Today
- +0 stars on 2026-09-30 (UTC)
- Forks
- 10
- Issues and pull requests
- 4
- Watchers
- 3
- Language
- Jupyter Notebook
- Created
- September 14, 2026
- Last push
- September 25, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 20, 2026Top new repositories this week: #125
- September 19, 2026Top new repositories this week: #106
- September 18, 2026Top new repositories this week: #92
- September 17, 2026Top new repositories this week: #90
- September 16, 2026Top new repositories this week: #125
- September 15, 2026Top new repositories this week: #154
README badge
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[](https://gitnova.dev/en/r/navaneethkrishnansuresh/Inference-Engineering)