Project Name	Stars	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Gluonts	4,288	16	3 days ago	107	December 07, 2023	385	apache-2.0	Python
Probabilistic time series modeling in Python
Neural_prophet	3,512	3	3 months ago	24	September 19, 2023	45	mit	Python
NeuralProphet: A simple forecasting package
Pytorch Forecasting	3,439	10	3 months ago	34	July 26, 2020	464	mit	Python
Time series forecasting with PyTorch
Neuralforecast	2,121	5	3 months ago	20	October 05, 2023	98	other	Python
Scalable and user friendly neural :brain: forecasting algorithms.
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.
Pypots	558		3 months ago	20	November 30, 2023	14	bsd-3-clause	Python
A Python toolbox/library for reality-centric machine learning/deep learning on partially-observed time series with PyTorch, including SOTA models supporting tasks of imputation, classification, clustering, and forecasting on incomplete (irregularly-sampled) multivariate time series with NaN missing values/data. https://arxiv.org/abs/2305.18811
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.
Da Rnn	242		3 years ago			20		Python
Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
Traffic_prediction	237		6 months ago				mit	TeX
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

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Gluonts ⭐ 4,288

Probabilistic time series modeling in Python

dependent packages 16total releases 107most recent commit 3 days ago

Neural_prophet ⭐ 3,512

NeuralProphet: A simple forecasting package

dependent packages 3total releases 24most recent commit 3 months ago

Pytorch Forecasting ⭐ 3,439

Time series forecasting with PyTorch

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Neuralforecast ⭐ 2,121

Scalable and user friendly neural :brain: forecasting algorithms.

dependent packages 5total releases 20most recent commit 3 months ago

Time Series Prediction ⭐ 762

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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

Pypots ⭐ 558

A Python toolbox/library for reality-centric machine learning/deep learning on partially-observed time series with PyTorch, including SOTA models supporting tasks of imputation, classification, clustering, and forecasting on incomplete (irregularly-sampled) multivariate time series with NaN missing values/data. https://arxiv.org/abs/2305.18811

total releases 20most recent commit 3 months 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

Da Rnn ⭐ 242

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

most recent commit 3 years ago

Traffic_prediction ⭐ 237

Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

most recent commit 6 months ago

Suggest An Alternative To neuralforecast

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Neuralforecast vs Gluonts

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Neuralforecast vs N Beats

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