NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
natural-language-processing
crf
cnn
pytorch
artificial-intelligence
lstm
named-entity-recognition
neural-networks
chunking
ner
char-rnn
part-of-speech-tagger
sequence-labeling
nbest
lstm-crf
char-cnn
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Updated
Apr 11, 2020 - Python
While trying to improve interoperability between casync and desync, I found it useful to have a visualization of the file formats.
Using the .ksy at https://gist.github.com/tomberek/a376495de8f43c65499e85b9d1e388f9 along with the in-browser IDE at https://ide.kaitai.io/# you can explore the file formats for .catar and .caidx (still working on .caibx).
This might make it easier to explain/do