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shuangshuangwen's Projects

dgl icon dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

gat icon gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

graphsage icon graphsage

Representation learning on large graphs using stochastic graph convolutions.

hyprec icon hyprec

Recommender system for research papers recommendation

leveldb icon leveldb

LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

multi-class-text-classification-cnn icon multi-class-text-classification-cnn

Classify Kaggle Consumer Finance Complaints into 11 classes. Build the model with CNN (Convolutional Neural Network) and Word Embeddings on Tensorflow.

nsc icon nsc

Neural Sentiment Classification

pygat icon pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

sa_cleaners icon sa_cleaners

cleaners modules for the sentiment analysis preprocessing on Twitter data in Python

sarcasm-detection icon sarcasm-detection

Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning approaches.

sentiment_analysis icon sentiment_analysis

使用深度学习方法对IMDB电影评价做情感分析,使用的方法分别为:MLP、BiRNN、BiGRU+Attention Model

tf-rnn-attention icon tf-rnn-attention

Tensorflow implementation of attention mechanism for text classification tasks.

twitter-sentiment-cnn icon twitter-sentiment-cnn

An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment classification on tweets.

xgboost icon xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

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