NCRFpp
fps_highlights
NCRFpp | fps_highlights | |
---|---|---|
1 | 1 | |
1,877 | 1 | |
- | - | |
0.0 | 5.8 | |
almost 2 years ago | 7 months ago | |
Python | Python | |
Apache License 2.0 | - |
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NCRFpp
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Speech and Language Processing (3rd ed. draft)
They still talk about Hidden Markov Models (HMMs) in quite a bit of detail in the sequence labelling chapter, but you are quite right, Conditional Random Fields (CRFs) and especially neural network based CRFs are in the top rankings when it comes to named entity recognition (NER) and part-of-speech tagging (POS), e.g. see https://github.com/jiesutd/NCRFpp.
fps_highlights
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I made an open source software to create highlight from your Apex Legends footage !
The script is open-source and free to use, and it's easy to get started. Check out the repo for more information and to download the script.
What are some alternatives?
zshot - Zero and Few shot named entity & relationships recognition
SRGAN - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
seqeval - A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)
fastaudio - 🔊 Audio and fastai v2
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
SimpNet-Deep-Learning-in-a-Shader - A trainable convolutional neural network inside a fragment shader
nn-morse - Decode morse using a neural network
pytorch-partial-crf - CRF, Partial CRF and Marginal CRF in PyTorch
speech-music-detection - Python framework for Speech and Music Detection using Keras.
kraken - OCR engine for all the languages
python-crfsuite - A python binding for crfsuite