NNTrainer
/All repositories
Overview
HEALTH SCORE
Excellent
86out of 100
Strong maintainer coverage and security posture. Development cadence is the only remaining gap.
LIFECYCLE
Active
Consistent commits, responsive maintainers, regular releases, and healthy issue triage.
Health breakdown
Excellent(86/100)
Maintainer availability, known risks and supply chain posture, and whether the project is actively developed or appropriately stable.
Maintainer responsiveness
Median response time is 1 day.
Bus factor
24 active maintainers currently have merge rights.
Organization Diversity
Contributors span 14 organizations.
Project Achievements
Leaderboards
About
develop a Software Framework to train neural network models on embedded devices which have relatively limited resources, which fine tunes the neural network model on device with user data for the personalization
First commit
Software value
$11M
Maturity
Active
Tags
ai
hacktoberfest
intelligence
learning
machine-learning
neural-network
tensorflow-lite
tizen
training
License(s)
Apache-2.0
Links
Data sources
Git
GitHub