forecasting-using-ml Goto Github PK

citysiren

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

dts

A Keras library for multi-step time-series forecasting.

forecasting

Time Series Forecasting Best Practices & Examples

genetic-algorithm-rnn

Using Genetic Algorithms to optimize Recurrent Neural Network's Configuration

gluon-ts

Probabilistic time series modeling in Python

kaggle-web-traffic

1st place solution

neurips2020-traffic4cast

Code accompanying our NeurIPS 2020 traffic4cast challenge

power-grid-cost-forecasting

pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

smogsentry

Predict car's EPA score based on it's specifications.

stgcn_ijcai-18

Spatio-Temporal Graph Convolutional Networks

stresnet

A TensorFlow Implementation of Deep Spatio-Temporal Residual Networks (ST-ResNet): https://arxiv.org/abs/1610.00081

t-gcn

Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method

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.

wavenet

Keras WaveNet implementation

wavenet-in-keras-for-kaggle-competition-web-traffic-time-series-forecasting

Sequence to Sequence Model based on Wavenet instead of LSTM implemented in Keras