TO

graykode/toeicbert

TOEIC(Test of English for International Communication) solving using pytorch-pretrained-BERT model.

124 24 +0/wk
GitHub
ai bert deep-learning lm mask nlp pytorch pytorch-pretrained toeic
Trend 0

Star & Fork Trend (18 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

graykode/toeicbert has +0 stars this period . Velocity data will be available after more historical data is collected.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric toeicbert Hyper-Extract Spatial-SSRL LaTeXSnipper
Stars 124 124124123
Forks 24 9412
Weekly Growth +0 +69+1+1
Language Python PythonPythonPython
Sources 1 111
License MIT NOASSERTIONApache-2.0MIT

Capability Radar vs Hyper-Extract

toeicbert
Hyper-Extract
Maintenance Activity 0

Last code push 2487 days ago.

Community Engagement 97

Fork-to-star ratio: 19.4%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.