Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

Code release for "Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors" (NeurIPS 2023), https://arxiv.org/abs/2305.18803

Comparative Genomics Toolkit 3

Gym environment for cooperative multi-agent reinforcement learning in heterogeneous robot teams

Non-stationary spectral mixture kernels implemented in GPflow

Implementation for Non-stationary Spectral Kernels (NIPS 2017)

[ICDMW 2023] Python implementation of d_{symb}: "An Interpretable Distance Measure for Multivariate Non-Stationary Physiological Signals"

Forecasting in Non-stationary Environments with FuzzyTime Series

[KDD 2025] NILMFormer: A Sequence-To-Sequence Non-Stationarity Aware Transformer for Non-Intrusive Load Monitoring

An R package for fitting state-space models to repeated measures of multiple individuals with covariates

This repository consists of codes that I developed for EEG and ECG signal processing

Multi-Objective Multi-Armed Bandit

Forecast airline passenger demand using time series models like AR, ARMA, and LSTM to improve operations, optimize scheduling, enhance resource allocation, and streamline supply chain management through accurate demand predictions

Compared Non-stationary Multi-armed Bandits in Single-Agent to Multi-Agents Scenarios- Distributed Optimization and Learning(DOL) Course Project

This repo is about forecasting the Yen movements in order to know whether to be long or short.

time series analysis in R use cases

R function to implement Toda-Yamamoto Causality Test

Probabilistic generation of hazard-consistent suites of fully non-stationary seismic records

Simulation algorithm for non-stationary multivariate space-time Gaussian random fields based on Gaussian Mixtures

A general understanding of Statistics Basics, Different tests with Different Python Libraries