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-topic-enhanced-memory-networks-

Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation

alitianchi

apriori

由Python实现的频繁项集挖掘Apriori算法

baaz

Open information extraction from Persian web

baidu-picture-spider

批量下载百度图片的脚本

bert_and_ernie

TensorFlow code and pre-trained models for BERT and ERNIE

bert_chinese_classification

本实验，是用BERT进行中文情感分类，记录了详细操作及完整程序

bot

A C++ Library for Biomedical Object Tracking

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cluster

聚类算法。实现Kmeans，DBSCAN以及谱聚类

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

cnn-yelp-challenge-2016-sentiment-classification

code for training a word level CNN for sentiment classification on yelp's review dataset 2016.

cnn_sentence

CNNs for sentence classification

codinginterviewchinese2

《剑指Offer》第二版源代码（Clone from: https://github.com/zhedahht/CodingInterviewChinese2）

cvpr15deepcompare

Code and models for "Learning to Compare Image Patches via Convolutional Neural Networks"

cytoseg

Automatically exported from code.google.com/p/cytoseg

dbn-classification

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deeplearningmovies

Kaggle's competition for using Google's word2vec package for sentiment analysis

difacto_dmlc

Distributed FM and LR based on Parameter Server with Ftrl

digital_-image_processing

dnn

Deep Neural Network using Python and Tensorflow

dnn_tensorflow_cpp

This project is a simple deep neural network trained using only TensorFlow C++.

dynamic-model-of-infectious-diseases

Python implementation of SI, SIR, SIS SEIR.

dynamic_cnn_for_nlp

dynamic convolutional neural network for NLP

elasticsearch-py

Official Python low-level client for Elasticsearch.

farsight

Public repository of Farsight Toolkit (http://www.farsight-toolkit.org)

image-feature-detection-using-phase-stretch-transform

PST or Phase Stretch Transform is an operator that finds features in an image. PST takes an intensity image I as its input, and returns a binary image out of the same size as I, with 1's where the function finds sharp transitions in I and 0's elsewhere.

insuranceqa-cnn-lstm

tensorflow and theano cnn code for insurance QA(question Answer matching)

kaggle-cats-and-dogs

Classifying images with OverFeat