>
AyakaCorp

Local-first machine learning

Independent machine-learning R&D by Luca Finn Law.

Germany · open source · two projects

Projects

ayaka-hand

Prototype · live demo

A 2.2M-parameter model that beats a perfect detector

Vision pre-shapes the grip before contact.

grip accuracy
72.3 %
lookup baseline
70.5 %
force accuracy
81.1 %
lookup baseline
65.4 %
student
2.23M parameters
latency budget
≤ 125 ms
licence
Apache-2.0

Hime

Active research

Five local models, and a result we withdrew

Japanese-to-English literary translation, run locally.

Five stages on a single consumer GPU, fully offline, EPUB in and out. The current fine-tune measures below its own base model. An earlier positive result was traced to an answer-key leak and retracted.

Method

Models trained on hardware here.

Inference on the device.

Results published including the failures.

Contact

info@ayakacorp.com github.com/lfl1337 ↗