Official fitted Jacobian lens for JLD and JLD-fast, by Shreshth Saini, Balu Adsumilli, and Alan C. Bovik. JLD measures the perceptual distance between an aligned reference image and a distorted image. Lower scores mean more similar images. It projects early DINOv2 patch features onto directions selected by the encoder's output sensitivity. The lens is fitted from unlabeled images without human quality ratings. This installs the versioned release wheel and records it in uv.lock. The distribution is named jacobian-lens-distance; the Python import remains jld. The package already includes this lens. The encoder weights are downloaded separately through timm on first use. Python 3.10 or newer…
fly-instinct is an open-weight model for other from Z, released under MIT License. Its published files total 25.9 MB.
A frozen, non-learning recursive network built on the real fruit-fly MaleCNS connectome (Janelia 2024). Feed any stimulus, get an organic, structured "instinctive" signal that is more alive than noise, less predictable than a script. Not AI. Not a brain.
Model Card
By Z, published under mit, revision 92b87d3bb99c.
A frozen, non-learning recursive network built on the real fruit-fly MaleCNS connectome (Janelia 2024). Feed any stimulus, get an organic, structured "instinctive" signal that is more alive than noise, less predictable than a script. Not AI. Not a brain. Not learning. Just real neural wiring, frozen. - Real MaleCNS connectome subset (1,587,930 edges, ~25 MB) - 4 tuned presets: escape / sugar / startle / explore - Zero training. Weight-frozen. Deterministic per seed. https://roblitz-spec.github.io/fly-instinct/ - Full 1.05GB connectome + commercial license: https://robloxer31.gumroad.com/l/Fly-Instinct
Read Z's full model card
Fly-Instinct - Real Connectome "Instinct" Signal Engine
A frozen, non-learning recursive network built on the real fruit-fly MaleCNS connectome (Janelia 2024). Feed any stimulus, get an organic, structured "instinctive" signal that is more alive than noise, less predictable than a script.
Not AI. Not a brain. Not learning. Just real neural wiring, frozen.
What you get
- Real MaleCNS connectome subset (1,587,930 edges, ~25 MB)
- 4 tuned presets: escape / sugar / startle / explore
- Bonus: C. elegans (309-neuron) connectome + 4 presets
- Zero training. Weight-frozen. Deterministic per seed.
Quick start
pip install fly-instinct
fly-instinct fetch-data
fly-instinct run --preset escape --duration 5 --out signal.wav
Browser demo (no install)
https://roblitz-spec.github.io/fly-instinct/
Links
- GitHub: https://github.com/roblitz-spec/fly-instinct
- PyPI: https://pypi.org/project/fly-instinct/
- Full 1.05GB connectome + commercial license: https://robloxer31.gumroad.com/l/Fly-Instinct
Data provenance
- Fruit-fly: Janelia MaleCNS (CC-BY 4.0), https://male-cns.janelia.org
- Roundworm: White et al. 1986 + Wang et al. 2024 neurotransmitter polarity
License
Code: MIT | Data: CC-BY 4.0 (attribution required)
Identity and Version
- Repository
- roblitz/fly-instinct
- Publisher
- Z
- Task
- Other
- Modality
- Other
- Library
- custom
- Parameters
- Not stated by the source
- Languages
- en
- Revision
- 92b87d3bb99c53d29ff1b5d2f7e9c2d7c8872377
- First published
- 2026-09-27
- Last updated
- 2026-09-27
Files and Weights
5 files, 25.9 MB in total.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| README.md | Documentation | 1.6 KB | — |
| data/annotations.csv | Other | 283.1 KB | — |
| data/edges.csv | Other | 25.2 MB | 1893782015bc |
| data/neurotransmitters.csv | Other | 364.2 KB | — |
| .gitattributes | Repository | 1.6 KB | — |
License and Download
- License
- mit
- Access
- Open weights, no gate
Released by Z through its official repository on Hugging Face. Read the license.
Questions About fly-instinct
Can I use fly-instinct commercially?
Yes. fly-instinct is released under MIT License. The MIT License is a short permissive license. It permits commercial use, modification and redistribution, provided the copyright notice and permission notice are included.
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