Projects in Awesome Lists tagged with deepar

https://github.com/nixtla/neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

baselines baselines-zoo deep-learning deep-neural-networks deepar esrnn forecasting hierarchical-forecasting hint machine-learning nbeats nbeatsx neural-network nhits probabilistic-forecasting pytorch robust-regression tft time-series transformer

Last synced: 16 May 2025

https://github.com/Nixtla/neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

baselines baselines-zoo deep-learning deep-neural-networks deepar esrnn forecasting hierarchical-forecasting hint machine-learning nbeats nbeatsx neural-network nhits probabilistic-forecasting pytorch robust-regression tft time-series transformer

Last synced: 04 Apr 2025

https://github.com/zalandoresearch/pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

deepar lstnet n-beats probabilistic pytorch time-series

Last synced: 15 May 2025

https://github.com/paddlepaddle/paddlets

Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.

cost deepar informer n-beats n-hits nbeats nhits paddlepaddle paddlets time-series-analysis time-series-anomaly-detection time-series-forecasting time-series-models time-series-representation-learning ts2vec

Last synced: 14 May 2025

https://github.com/PaddlePaddle/PaddleTS

Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.

cost deepar informer n-beats n-hits nbeats nhits paddlepaddle paddlets time-series-analysis time-series-anomaly-detection time-series-forecasting time-series-models time-series-representation-learning ts2vec

Last synced: 28 Nov 2024

https://github.com/benman1/time-series

Time-Series models for multivariate and multistep forecasting, regression, and classification

deep-learning deepar forecasting gaussian-processes keras lstm multi-step multivariate nbeats tensorflow time-series transformer

Last synced: 14 Apr 2025

https://github.com/bits-bytes-nn/mofc-demand-forecast

Time Series Forecasting for the M5 Competition

altair deepar demand-forecasting gluonts hyperopt kats lightgbm prophet time-series-analysis tsfresh vector-autoregression

Last synced: 17 Mar 2025

https://github.com/DeepARSDK/quickstart-ios-objc

DeepAR SDK for iOS example project

augmented-reality deepar face-filters ios objective-c

Last synced: 11 Mar 2025

https://github.com/Resh-97/MixSeq-Connecting-Macroscopic-Time-Series-Forecasting-with-Microscopic-Time-Series-Data

Testing the Reproducibility of the paper: MixSeq. Under the assumption that macroscopic time series follow a mixture distribution, they hypothesise that lower variance of constituting latent mixture components could improve the estimation of macroscopic time series.

arma comp6248 deepar multihead-attention reproducibility-challenge time-series vae-implementation vae-pytorch