Project Name	Stars	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Deep Learning Time Series	1,811		2 years ago			8	apache-2.0	Jupyter Notebook
List of papers, code and experiments using deep learning for time series forecasting
Kaggle Web Traffic	1,402		6 years ago			8	mit	Jupyter Notebook
1st place solution
Ydata Synthetic	1,201	2	3 months ago	31	December 08, 2023	46	mit	Jupyter Notebook
Synthetic data generators for tabular and time-series data
Btgym	825		3 years ago			11	lgpl-3.0	Python
Scalable, event-driven, deep-learning-friendly backtesting library
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		3 months ago	11	October 16, 2023	11	mit	Python
tfts: Time series deep learning models in TensorFlow
Web Traffic Forecasting	552		6 years ago			12		Python
Kaggle \| Web Traffic Forecasting 📈
Multilabel Timeseries Classification With Lstm	487		7 years ago			3	apache-2.0	Jupyter Notebook
Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.
Tensorflow Time Series Examples	425		6 years ago			10		Python
Time Series Prediction with tf.contrib.timeseries
Deepadots	270		4 years ago			7	mit	Python
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

Alternatives To Neuralnets

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Deep Learning Time Series ⭐ 1,811

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

most recent commit 2 years ago

Kaggle Web Traffic ⭐ 1,402

1st place solution

most recent commit 6 years ago

Ydata Synthetic ⭐ 1,201

Synthetic data generators for tabular and time-series data

dependent packages 2total releases 31most recent commit 3 months ago

Btgym ⭐ 825

Scalable, event-driven, deep-learning-friendly backtesting library

most recent commit 3 years ago

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 3 months ago

Web Traffic Forecasting ⭐ 552

Kaggle | Web Traffic Forecasting 📈

most recent commit 6 years ago

Multilabel Timeseries Classification With Lstm ⭐ 487

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

most recent commit 7 years ago

Tensorflow Time Series Examples ⭐ 425

Time Series Prediction with tf.contrib.timeseries

most recent commit 6 years ago

Deepadots ⭐ 270

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

most recent commit 4 years ago

Suggest An Alternative To neuralnets

Alternative Project Comparisons

Neuralnets vs Deep Learning Time Series

Neuralnets vs Kaggle Web Traffic

Neuralnets vs Ydata Synthetic

Neuralnets vs Btgym

Neuralnets vs Telemanom

Neuralnets vs Time Series Prediction

Neuralnets vs Web Traffic Forecasting

Neuralnets vs Multilabel Timeseries Classification With Lstm

Neuralnets vs Tensorflow Time Series Examples

Neuralnets vs Deepadots

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