DePT
[ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"
ShiZhengyan/DePT
View on GitHub ↗[ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"
DePT grew +0.0% in the last 30 days, ranks 191st of 203 in Fine-Tuning (LoRA / PEFT), last commit 928 days ago.
Star trajectory
115 days tracked2026-07-02101 stars today2026-10-25
Momentum
+0.0% in 30d, below the Fine-Tuning (LoRA / PEFT) median of +0.1%.
Maintenance
Last commit 928 days ago, staler than the median of 259d.
How it compares in Fine-Tuning (LoRA / PEFT)
DePT
101
stars
+0.0% 30d
commit 928 days ago
Fine-Tuning (LoRA / PEFT) median
533
stars
+0.1% 30d
commit ~259d ago
Leader · LLMs-from-scratch
107.2k
stars
+1.6% 30d
commit 22 days ago
Ranked 191st of 203 by stars.
- Language
- Python
- License
- MIT License
- Contributors
- 2
- Forks
- 15
- Watchers
- 2
- Open issues
- 2
- Releases
- 0
- Created
- 2023-09-11
- Stars this week
- +0
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