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arima

arima-lstm-hybrid-corrcoef-predict

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

convlstm-pytorch

Implementation of ConvLSTM in pytorch applied for BCI (Brain Machine Interface) following paper: Convolutional LSTM Network-A Machine Learning Approach for Precipitation Nowcasting

deepfec

Energy Consumption Prediction under Real-World Driving Conditions for Smart Cities

deepst-resnet

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction‘s code

dl4traffic

This is the repository for the collection of Deep Learning for Traffic Prediction Problems.

fnn

Embed strange attractors using a regularizer for autoencoders

fnn-predicting-bike-share-data

Built a feedforward neural network from scratch to carry out a prediction problem on bike-share company's dataset.

gmm

Gaussian Mixture Models in Python

java-testdata-generator

使用Java实现的各种测试数据的随机生成工具，包括身份证号码，银行卡号，姓名，手机号等

keras

Deep Learning for humans

lstm

基于LSTM神经网络的时间序列预测

lstm_attention

attention-based LSTM/Dense implemented by Keras

lstnet

msbdn-dff

The source code of CVPR 2020 paper "Multi-Scale Boosted Dehazing Network with Dense Feature Fusion"

mscnn

Caffe implementation of our multi-scale object detection framework

mscnn-1

Multi-scale temporal patterns convolution neural network

mt-mvgcn

source code for TNNLS paper "Multi-Task Representation Learning with Multi-View Graph Convolutional Networks"

trafficflowforecasting

Some TrafficFlowForecasting Solutions(交通流量预测解决方案)

trafficflowprediction

Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).

urbanfm

Pytorch Implement of Urban Flow Magnifier (UrbanFM), KDD-19