Projects in Awesome Lists tagged with nbeats

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: 17 Dec 2024

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: 05 Nov 2024

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: 19 Dec 2024

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/DataCanvasIO/HyperTS

A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.

anomaly-detection autodl automl autots classification covariates forecasting hyperparameter-optimization iforest inceptiontime lstnet meta-features multivariate nbeats neural-architecture-search prophet regression tensorflow time-series

Last synced: 02 Nov 2024

https://github.com/martinuzzifrancesco/neuralbasisexpansions.jl

Julia (Flux) implementation of NBeats

deep-learning deep-neural-networks julia nbeats time-series timeseries timeseries-forecasting

Last synced: 20 Oct 2024

https://github.com/etienne-bobo/predict-bitcoin-price

predict price of bitcoin using time series

conv1d keras nbeats tensorflow timeseries-forecasting

Last synced: 11 Nov 2024

https://github.com/hrolive/time-series-forecasting-ikileus

Knowledge of various Time Series Forecasting topics: Long Short-Term Memory (LSTM), Exponential Smoothing, Autoregressive integrated moving average (ARIMA), TBATS, Multivariate Time Series Forecasting, XGboost, N_BEATS, and Prophet.

arima exponential-smoothing jupyter-notebook lstm nbeats prophet python tbats time-series xgboost

Last synced: 09 Nov 2024