PSRben/VisionHOPE
Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
About the project
PyTorch implementation of VisionHOPE, a visual backbone based on self-referential nested learning (SRNL) for image classification, detection, and segmentation.
Useful for
- Run ImageNet-1K classification with the pretrained visionhope_small checkpoint
- Train COCO detection and instance segmentation with the VisionHOPE backbone
- Embed the SRNL module or VisionHOPEBlock into a custom architecture
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 44 stars so far today, about 52 expected by the end of the day.
- The spike has held for 2 days in a row — not a one-off blip.
- The repository is 3 days old and already has 118 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #134.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 118
- Today
- 44 · ≈ 52 by evening
- Forks
- 2
- Issues and pull requests
- 3
- Watchers
- 1
- Language
- Python
- License
- MIT
- Latest release
- weights-v1 · September 29, 2026
- Created
- September 27, 2026
- Last push
- September 30, 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 30, 2026Top new repositories this week: #134
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README badge
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