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astgcn

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (ASTGCN) AAAI 2019

astgcn-r-pytorch

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

characterizingdrivingstyleswithdeeplearning

This is a tensorflow implementation of "Characterizing Driving Styles with Deep Learning".

conv-social-pooling

Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018

convolutional-lstm-in-tensorflow

An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow

coordtransform

提供了百度坐标（BD09）、国测局坐标（火星坐标，GCJ02）、和WGS84坐标系之间的转换

coupletai

基于CNN+Bi-LSTM+Attention 的自动对对联系统

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

deepst

Deep Learning for Spatio-Temporal Data

deepst-1

Reconstruction of DeepST

graphembedding

Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec

ijcai-17-tianchi

tianchi-IJCAI-17-shop passenger flow predict

juno_crawler

Scrapy crawler to collect data on the back catalog of songs listed for sale.

keras-attention-mechanism

the extension of https://github.com/philipperemy/keras-attention-mechanism , create a new scipt to add attetion to input dimensions rather than timesteps in the origin project。

keras-attention-mechanism-1

Attention mechanism Implementation for Keras.

line

TensorFlow implementation of paper "LINE: Large-scale Information Network Embedding" by Jian Tang, et al.

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)

linux

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

lstm_attention

attention-based LSTM/Dense implemented by Keras

lstm_prediction

Use LSTM to do PM2.5 prediction

lstm_times_series

predict daily application of credit card

multidimensional-time-series-prediction-

Multidimensional Time Series Prediction by using LSTM

neural-network.therealitymining

predcnn

Code release for "PredCNN: Predictive Learning with Cascade Convolutions" (IJCAI 2018)

prometheus-qos

QoS (or Quality-of-service) is traffic shaper replacement for Internet Service Providers (ISP). Dump your vintage hard-wired routers/shapers (C|sco, etc.) in favour of powerful open source and free solution.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

recsys2019_deeplearning_evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches"

ryu

shortlongterm

This repo contains all the codes and sample files for the "Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data" paper