6 skills found
Nixtla / NeuralforecastScalable and user friendly neural :brain: forecasting algorithms.
KEV0143 / Comparative Analysis Of Hourly Load Forecasting Using PatchTST TFT NHiTS And CatBoostA comprehensive time-series benchmark evaluating state-of-the-art deep learning architectures (PatchTST, TFT, N-HiTS) against traditional gradient boosting (CatBoost) for accurate 24-hour load prediction.
PaddlePaddle / PaddleTSAwesome 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.
kochlisGit / VIT2This repository is the implementation of the paper: ViT2 - Pre-training Vision Transformers for Visual Times Series Forecasting. ViT2 is a framework designed to address generalization & transfer learning limitations of Time-Series-based forecasting models by encoding the time-series to images using GAF and a modified ViT architecture.
hugogobato / Evaluating The Efficacy Of NHITS For Forecasting Stock Realized VolatilityNo description available
Guan-t7 / Mv NhitsSome efforts to include multivariate (global) information in N-HiTS.
