SlideFormer
An Efficient Heterogeneous Co-Design for Fine-Tuning on a Single GPU (DAC ‘26)
RegiaYoung/SlideFormer
View on GitHub ↗An Efficient Heterogeneous Co-Design for Fine-Tuning on a Single GPU (DAC ‘26)
SlideFormer ranks 223rd of 303 in Inference Optimization, last commit 25 days ago.
Star trajectory
18 days tracked2026-10-08139 stars today2026-10-25
Momentum
- in 30d, below the Inference Optimization median of +1.5%.
Maintenance
Last commit 25 days ago, staler than the median of 15d.
How it compares in Inference Optimization
SlideFormer
139
stars
- 30d
commit 25 days ago
Inference Optimization median
257
stars
+1.5% 30d
commit ~15d ago
Leader · supertonic
13.8k
stars
-0.2% 30d
commit 45 days ago
Ranked 223rd of 303 by stars.
- Language
- Python
- License
- Apache License 2.0
- Contributors
- 1
- Forks
- 5
- Watchers
- 0
- Open issues
- 0
- Releases
- 0
- Created
- 2026-02-24
- Stars this week
- -15
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