Project Name	Stars	Most Recent Commit	Open Issues	License	Language
Rnn Time Series Anomaly Detection	769	3 years ago	27	apache-2.0	Python
RNN based Time-series Anomaly detector model implemented in Pytorch.
Load_forecasting	260	2 years ago	12	mit	Jupyter Notebook
Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models
Rnn Active User Forecast	174	5 years ago	1	mit	Jupyter Notebook
1st place solution for the Kuaishou Active-user Forecast competition
Copper_price_forecast	73	6 years ago		gpl-3.0	Python
copper price(time series) prediction using bpnn and lstm
Forecasting 1.0	29	a year ago		mit	Python
Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy
Lstm Electric Load Forecast	28	5 years ago	2	mit	Python
Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network
Weeklyforecasting	21	2 years ago			R
This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model uses the forecasts of 4 sub-models: TBATS, Theta, Dynamic Harmonic Regression ARIMA and a global Recurrent Neural Network (RNN), and optimally combine them using lasso regression.
Solar Forecasting Rnn	12	3 years ago			Jupyter Notebook
Multi-time-horizon solar forecasting using recurrent neural network
Rnn Forecasting	10	8 years ago	1		Python
Using LSTM RNN to forecast time series; includes sine wave, electrocardiogram and ad impression forecasting
Echos	9	3 months ago			R
Echo State Networks for Time Series Forecasting

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Rnn Time Series Anomaly Detection ⭐ 769

RNN based Time-series Anomaly detector model implemented in Pytorch.

most recent commit 3 years ago

Load_forecasting ⭐ 260

Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

most recent commit 2 years ago

Rnn Active User Forecast ⭐ 174

1st place solution for the Kuaishou Active-user Forecast competition

most recent commit 5 years ago

Copper_price_forecast ⭐ 73

copper price(time series) prediction using bpnn and lstm

most recent commit 6 years ago

Forecasting 1.0 ⭐ 29

Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy

most recent commit a year ago

Lstm Electric Load Forecast ⭐ 28

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

most recent commit 5 years ago

Weeklyforecasting ⭐ 21

This repository contains the experiments related with a new baseline model that can be used in forecasting weekly time series. This model uses the forecasts of 4 sub-models: TBATS, Theta, Dynamic Harmonic Regression ARIMA and a global Recurrent Neural Network (RNN), and optimally combine them using lasso regression.

most recent commit 2 years ago

Solar Forecasting Rnn ⭐ 12

Multi-time-horizon solar forecasting using recurrent neural network

most recent commit 3 years ago

Rnn Forecasting ⭐ 10

Using LSTM RNN to forecast time series; includes sine wave, electrocardiogram and ad impression forecasting

most recent commit 8 years ago

Echos ⭐ 9

Echo State Networks for Time Series Forecasting

most recent commit 3 months ago

Suggest An Alternative To solar-forecasting-RNN

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