Project Name	Stars	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Time Series Prediction	762	9 months ago	11	October 16, 2023	11	mit	Python
tfts: Time series deep learning models in TensorFlow
N Beats	686	2 years ago				mit	Python
Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
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.
Scalecast	292	9 months ago	186	December 04, 2023	39	mit	Python
The practitioner's forecasting library
Seriesnet	202	2 years ago				mit	Python
Time series prediction using dilated causal convolutional neural nets (temporal CNN)
Deep Learning For Hackers	196	4 years ago			2	mit	Jupyter Notebook
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Dts	157	a year ago			5	mit	Python
A Keras library for multi-step time-series forecasting.
Kaggle Competition Favorita	138	7 years ago			5	mit	Python
5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
Keras Lstm Trajectory Prediction	81	2 years ago			1		Python
A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting
Time Series Forecasting Rnn Tensorflow	56	6 years ago			7	apache-2.0	Python
Time series forecasting

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Time Series Prediction ⭐ 762

tfts: Time series deep learning models in TensorFlow

total releases 11most recent commit 9 months ago

N Beats ⭐ 686

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

most recent commit 2 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

Scalecast ⭐ 292

The practitioner's forecasting library

total releases 186most recent commit 9 months ago

Seriesnet ⭐ 202

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

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Deep Learning For Hackers ⭐ 196

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

most recent commit 4 years ago

Dts ⭐ 157

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

most recent commit a year ago

Kaggle Competition Favorita ⭐ 138

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

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Keras Lstm Trajectory Prediction ⭐ 81

A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting

most recent commit 2 years ago

Time Series Forecasting Rnn Tensorflow ⭐ 56

Time series forecasting

most recent commit 6 years ago

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Keras Lstm Trajectory Prediction vs Time Series Prediction

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