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BrikerMan / ios-env-check.sh
Last active April 15, 2021 04:47
report=$( mktemp )
echo "# Environment Debugging" >> $report
echo "" >> $report
echo $"This file will generate an report file Yodo1 for debugging." >> $report
echo "" >> $report
echo $"## Pod Environment" >> $report
echo $"`pod env`" >> $report
echo "" >> $report
echo $"### Podfile.lock" >> $report
@BrikerMan
BrikerMan / kashgar_chinese_ner.ipynb
Last active April 10, 2020 21:04
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@BrikerMan
BrikerMan / seq2seq.ipynb
Created May 14, 2019 10:52
seq2seq.ipynb
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@BrikerMan
BrikerMan / nlp-preprosssing.ipynb
Last active May 1, 2022 06:53
nlp-preprosssing.ipynb
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@BrikerMan
BrikerMan / nlp_get_all_non_chinese_tokens.py
Last active November 18, 2018 10:43
# encoding: utf-8
"""
@author: BrikerMan
@contact: [email protected]
@blog: https://eliyar.biz
@version: 1.0
@license: Apache Licence
@file: pre_process
@time: 2018/11/18
@BrikerMan
BrikerMan / w2v_visualizer-v2.py
Last active March 30, 2022 20:26
Convert gensim word2vec to tensorboard visualized model, detail: https://eliyar.biz/using-pre-trained-gensim-word2vector-in-a-keras-model-and-visualizing/
from gensim.models import KeyedVectors
# Load gensim word2vec
w2v_path = '<Gensim File Path>'
w2v = KeyedVectors.load_word2vec_format(w2v_path)
import io
# Vector file, `\t` seperated the vectors and `\n` seperate the words
"""