TR

chengchingwen/Transformers.jl

Julia Implementation of Transformer models

572 81 +0/wk
GitHub
attention deep-learning flux machine-learning natural-language-processing nlp transformer
Trend 3

Star & Fork Trend (26 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

chengchingwen/Transformers.jl has +0 stars this period . 7-day velocity: 0.2%.

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Signal-backed technical analysis will be available soon.

Metric Transformers.jl siamfc-tf papers video-search-and-summarization
Stars 572 572572573
Forks 81 186120202
Weekly Growth +0 +0+0+9
Language Julia PythonN/APython
Sources 1 111
License MIT N/AN/ANOASSERTION

Capability Radar vs siamfc-tf

Transformers.jl
siamfc-tf
Maintenance Activity 0

Last code push 250 days ago.

Community Engagement 71

Fork-to-star ratio: 14.2%. 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.