lucidrains/RLT
- Total stars
- 55
- Today
- +0
More actions
Implementation of the recurrent looped transformer proposed by Yifan Zhang of Princeton
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About the project
Unofficial PyTorch implementation of the Recurrent Looped Transformer, a transformer with looped recurrent layers trained on tokens with optional truncated BPTT. Aimed at researchers experimenting with recurrent architectures and effective depth.
Useful for
- Train the model on enwik8 using the provided train_enwik8.py script
- Generate token continuations from a prompt via model.generate
- Compare the recurrent architecture against a standard transformer on your task
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate. Read the original README →
Star growth looks organic. Data as of September 28, 2026, 07:15 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 15 days old and already has 55 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 23, 2026, 00:34 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
- 55
- Today
- +0 stars on 2026-09-28 (UTC), ≈ 0 by evening
- Forks
- 5
- Issues and pull requests
- 1
- Watchers
- 2
- Language
- Python
- License
- MIT
- Created
- September 13, 2026
- Last push
- September 22, 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 18, 2026Top new repositories this week: #181
- September 17, 2026Top new repositories this week: #197
README badge
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