PatchTST-based stock ranking model trained with LambdaRank loss on KRX data. Crafted by 🍡 DungiBomi

chatbot designed to allow users to interact with transformer models

Probabilistic building load forecasting (Q10/Q50/Q90) + risk-aware supervisory control using Patch Transformer (QR-PatchTST)

Tokenization Matters: A Fair Ablation of Point-wise, and Variate-wise Transformers for Financial Time Series. (includes PatchTST, iTransformer, Crossformer, Autoformer, Fedformer, Informer, TimeNet, and non-stationarity extensions.

Comparison of Return Forecasting Methods for Markowitz Portfolio Optimization: Historical Mean, AutoARIMA, PatchTST Transformer

Stock price prediction comparing PatchTST transformer vs baseline models (MLP, CNN, LSTM) on S&P 500 data

Advanced multivariate macroeconomic forecasting using AutoPatchTST and AutoML on the FRED-MD dataset, comparing feature selection strategies and hyperparameter optimization.

SOTA time-series models for industrial sensor streams · ETT, SWaT · IEEE TII

Disease Forecasting in a Tropical Context: A Comparative Evaluation of Model Performance and Generalizability for Dengue Fever and Influenza in Vietnam

A comprehensive performance benchmark of the state-of-the-art PatchTST (Patch Time Series Transformer) model across multiple diverse datasets and various forecasting horizons