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ai_risk

马上消费金融挑战者大赛-违约用户风险预测--第三名方案

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

awesome-bert

bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目

awesome-graph-embedding

A collection of important graph embedding, classification and representation learning papers with implementations.

cane

Source code and datasets of "CANE: Context-Aware Network Embedding for Relation Modeling"

ccf2016_sougou

ccf2016 sougou final winner solution

char-rnn

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

deepwalk

DeepWalk - Deep Learning for Graphs

gcn

Implementation of Graph Convolutional Networks in TensorFlow

hello

keras-timeseries-prediction

Time series prediction with Sequential Model and LSTM units

kgrobot

基于知识图谱的智能问答机器人

leetcode

Solution in Java

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

nreral_pk_logstic

openne

An Open-Source Package for Network Embedding (NE)

personalized-matching

面向电信行业存量用户的智能套餐个性化匹配模型 (XGBoost 0.8254)

planetoid

Semi-supervised learning with graph embeddings

puddlejumper

Home credit default risk

scorecardpy

Scorecard Development in python, 评分卡

sequence-semantic-embedding

Tools and recipes to train models and build services for NLP tasks such as classification, search ranking, cross-lingual information retrieval, and question answering etc.

tadw

code for IJCAI2015 paper "Network Representation Learning with Rich Text Information"

tensorflow-tutorial

Some interesting TensorFlow tutorials for beginners.

time_seires_prediction_using_lstm

Time series prediction using LSTM classifier

topical_word_embeddings

A demo code for topical word embedding

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