Pinned Repositories
Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
awesome-bert
bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目
bi-att-flow
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
Bi-LSTM-ATT
Bi-LSTM-ATT for relation extraction
Char-RNN-TensorFlow
Multi-language Char RNN for TensorFlow >= 1.2.
dl
leetcode_zqq
Zqq's exercise in Leetcode
My_transformer-for-RE
NRE
Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT
python-doc
translate python documents to Chinese for convenient reference 简而言之，这里用来存放那些Python文档君们，并且尽力将其翻译成中文~~
zqqqqq1's Repositories
zqqqqq1/Bi-LSTM-ATT
Bi-LSTM-ATT for relation extraction
zqqqqq1/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
zqqqqq1/awesome-bert
bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目
zqqqqq1/bi-att-flow
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
zqqqqq1/Char-RNN-TensorFlow
Multi-language Char RNN for TensorFlow >= 1.2.
zqqqqq1/dl
zqqqqq1/leetcode_zqq
Zqq's exercise in Leetcode
zqqqqq1/My_transformer-for-RE
zqqqqq1/NRE
Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT
zqqqqq1/python-doc
translate python documents to Chinese for convenient reference 简而言之，这里用来存放那些Python文档君们，并且尽力将其翻译成中文~~
zqqqqq1/CS-Base
图解计算机网络、操作系统、计算机组成、数据库，共 1000 张图 + 50 万字，破除晦涩难懂的计算机基础知识，让天下没有难懂的八股文！🚀 在线阅读：https://xiaolincoding.com
zqqqqq1/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
zqqqqq1/free-programming-books-zh_CN
:books: 免费的计算机编程类中文书籍，欢迎投稿
zqqqqq1/MaoZeDongAnthology
***选集
zqqqqq1/mydemon
zqqqqq1/nlp_research
NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务
zqqqqq1/Text-Classification-Models-Pytorch
Implementation of State-of-the-art Text Classification Models in Pytorch
zqqqqq1/UER-py
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
zqqqqq1/zh_cnn_text_classify
基于CNN的中文文本分类算法（可应用于垃圾邮件过滤、情感分析等场景）
zqqqqq1/zqqqqqqq