Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
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
Last synced: 10 Jul 2024
![](https://github.com/Resh-97.png)
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: 23 Jun 2024
![](https://github.com/PaddlePaddle.png)
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: 28 Apr 2024
![](https://github.com/Nixtla.png)