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bhouston/three-dlss-nr

Games & graphicsTypeScript
Total stars
60
Today · UTC
+0since 00:20 UTC
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A Three.js (TSL / WebGPU) port of OpenDLSS-NR, the open-source reimplementation of NVIDIA's DLSS 5 neural rendering network

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About the project

A Three.js (TSL/WebGPU) port of OpenDLSS-NR: runs the 71-block DLSS 5 neural rendering network as compute kernels inside WebGPU, byte-identical to the reference.

Useful for
  • Run DLSS 5 neural rendering in the browser via WebGPU
  • Compare the TSL port output byte-for-byte with the OpenDLSS-NR reference
  • Embed the NR pass into an existing three.js scene with off/on/split views

README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.

0.4 Steady Magnitude out of 10 — how fast interest is growing, not a quality score.

Star growth looks organic. Data as of October 7, 2026, 03:17 UTC.

The star-growth assessment does not verify whether the project is safe to run.

Stars per day

02040September 27, 2026October 7, 2026

Bars show daily stars; the line is a moving average of the available history. Short histories do not yet establish a reliable usual pace. Red marks spike days.

Why it’s trending

  • Star-counter measurements on 2026-10-07 (UTC), 00:20–03:15: 60 → 60 stars (+0). This is the change over that interval.
  • The repository is 5 days old and already has 60 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
  • Top new repositories this week: #192.
  • Recent forks include notable developers: @jasonkneen (446 followers).

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.

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Numbers

Total stars
60
Today
+0 stars measured 2026-10-07, 00:20–03:15 UTC, ≈ 0 by evening
Forks
5
Issues and pull requests
18
Watchers
0
Language
TypeScript
Created
October 2, 2026
Last push
October 5, 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.

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