haohaohaozhang

A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction

Advanced-Deep-Learning-with-Keras

Advanced Deep Learning with Keras, published by Packt

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

demand_forecast

firstproject

nothing

gluon-ts

Probabilistic time series modeling in Python

gnn-model-explainer

gnn explainer

GNN4Traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

google-research

Google Research

keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

haohaohaozhang/A-Dual-Stage-Attention-Based-Recurrent-Neural-Network-for-Time-Series-Prediction

haohaohaozhang/Advanced-Deep-Learning-with-Keras

Advanced Deep Learning with Keras, published by Packt

haohaohaozhang/d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

haohaohaozhang/demand_forecast

haohaohaozhang/firstproject

nothing

haohaohaozhang/gluon-ts

Probabilistic time series modeling in Python

haohaohaozhang/gnn-model-explainer

gnn explainer

haohaohaozhang/GNN4Traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

haohaohaozhang/google-research

Google Research

haohaohaozhang/keras

Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.

haohaohaozhang/LSTNet

haohaohaozhang/MAD-GANs

Applied generative adversarial networks (GANs) to do anomaly detection for time series data

haohaohaozhang/seriesnet

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

haohaohaozhang/Stock-Prediction-Models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

haohaohaozhang/TimeSeries_Seq2Seq

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

haohaohaozhang/TPA-LSTM

Temporal Pattern Attention for Multivariate Time Series Forecasting