Project Name	Stars	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Telemanom	793		2 years ago			11	other	Jupyter Notebook
A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
Time Series Prediction	762		4 months ago	11	October 16, 2023	11	mit	Python
tfts: Time series deep learning models in TensorFlow
N Beats	686		a year ago				mit	Python
Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
Predictive Maintenance Using Lstm	507		a year ago				mit	Python
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
Lstm Fcn	388		5 years ago			7		Python
Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
Timeseries_seq2seq	362		5 years ago			9		Jupyter Notebook
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.
Microprediction	312	9	4 months ago	205	January 26, 2023	22		Jupyter Notebook
If you can measure it, consider it predicted
Keras Anomaly Detection	298		6 years ago			5	mit	Python
Anomaly detection implemented in Keras
Scalecast	292		4 months ago	186	December 04, 2023	39	mit	Python
The practitioner's forecasting library
Mlstm Fcn	241		4 years ago			5		Python
Multivariate LSTM Fully Convolutional Networks for Time Series Classification

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Telemanom ⭐ 793

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

most recent commit 2 years ago

Time Series Prediction ⭐ 762

tfts: Time series deep learning models in TensorFlow

total releases 11most recent commit 4 months ago

N Beats ⭐ 686

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

most recent commit a year ago

Predictive Maintenance Using Lstm ⭐ 507

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

most recent commit a year ago

Lstm Fcn ⭐ 388

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

most recent commit 5 years ago

Timeseries_seq2seq ⭐ 362

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.

most recent commit 5 years ago

Microprediction ⭐ 312

If you can measure it, consider it predicted

dependent packages 9total releases 205most recent commit 4 months ago

Keras Anomaly Detection ⭐ 298

Anomaly detection implemented in Keras

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Scalecast ⭐ 292

The practitioner's forecasting library

total releases 186most recent commit 4 months ago

Mlstm Fcn ⭐ 241

Multivariate LSTM Fully Convolutional Networks for Time Series Classification

most recent commit 4 years ago

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Dolar vs Telemanom

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Dolar vs Predictive Maintenance Using Lstm

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Dolar vs Timeseries_seq2seq

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Dolar vs Keras Anomaly Detection

Dolar vs Scalecast

Dolar vs Mlstm Fcn

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