CTCDecoder
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
Decode sequences from neural networks using various algorithms for better accuracy.
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Free · no card · unsubscribe anytimeConnectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
CTCDecoder has 837 stars on GitHub. It has been forked 179 times. CTCDecoder is written mainly in Python. It has been in active development since 2017. CTCDecoder is available under the MIT license. Its main topics are beam-search, best-path, ctc, ctc-loss.
What is CTCDecoder?
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
Is CTCDecoder open source?
CTCDecoder is an open-source project. It is released under the MIT license.
Is CTCDecoder free?
Yes. CTCDecoder is free and open source — you can use, modify and self-host it.
What license does CTCDecoder use?
CTCDecoder is available under the MIT license.
What language is CTCDecoder written in?
CTCDecoder is written mainly in Python.
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