githubharald/CTCDecoder

Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.

835 179 +0/wk

GitHub

beam-search best-path ctc ctc-loss handwriting-recognition language-model loss opencl prefix-search python recurrent-neural-networks speech-recognition

Trend 0

Star & Fork Trend (29 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 835

forks 179

Growth Velocity

githubharald/CTCDecoder 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	CTCDecoder	lightNLP	DataAug4NLP	hate-speech-and-offensive-language
Stars	835	836	833	838
Forks	179	208	77	329
Weekly Growth	+0	+0	+0	+0
Language	Python	Python	N/A	Jupyter Notebook
Sources	1	1	1	1
License	MIT	Apache-2.0	N/A	MIT

Capability Radar vs lightNLP

CTCDecoder

lightNLP

Maintenance Activity 65

Last code push 67 days ago.

Community Engagement 100

Fork-to-star ratio: 21.4%. 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.