Watch Xiang/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

Watch Xiang/MatchZoo

Facilitating the design, comparison and sharing of deep text matching models.

Watch Xiang/Linear-Attention-Recurrent-Neural-Network

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

Watch Xiang/Self-Attentive-tensorflow

Tensorflow implementation of "A Structured Self-Attentive Sentence Embedding"

Watch Xiang/Communicate

Watch Xiang/junit5-samples

Collection of sample applications using JUnit 5.

Watch Xiang/netDataCreate

the tool box for net data creation

Watch Xiang/pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

Watch Xiang/my_text_classification_cnn_final

text classification based on CNN

Watch Xiang/BERT-pytorch

Google AI 2018 BERT pytorch implementation