Scalable and user friendly neural 🧠 forecasting algorithms.

Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|

Gluonts | 4,024 | 16 | 3 months 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 | 3 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 | 5 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). |

Alternatives To NeuralforecastSelect To Compare

Alternative Project Comparisons

Popular Forecasting Projects

Popular Neural Network Projects

Popular Machine Learning Categories

Related Searches

Get A Weekly Email With Trending Projects For These Categories

No Spam. Unsubscribe easily at any time.

Python

Deep Learning

Machine Learning

Pytorch

Neural Network

Time Series

Deep Neural Networks

Baseline

Forecasting