uzaymacar/attention-mechanisms

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

377 87 +0/wk

GitHub

attention-mechanism keras keras-layer language-model machine-translation many-to-many many-to-one natural-language-processing natural-language-understanding recurrent-neural-networks sentiment-classification sequence-to-sequence-models

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Star & Fork Trend (17 data points)

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Forks

Multi-Source Signals

GitHub

stars 377

forks 87

Growth Velocity

uzaymacar/attention-mechanisms has +0 stars this period . Velocity data will be available after more historical data is collected.

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Signal-backed technical analysis will be available soon.

Metric	attention-mechanisms	potato	SentimentAnalysis	awesome-rag
Stars	377	377	377	376
Forks	87	69	47	35
Weekly Growth	+0	+1	-2	+1
Language	Python	Python	Python	N/A
Sources	1	1	1	1
License	MIT	NOASSERTION	MIT	CC0-1.0

Capability Radar vs potato

attention-mechanisms

potato

Maintenance Activity 0

Last code push 793 days ago.

Community Engagement 100

Fork-to-star ratio: 23.1%. 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.