TexTeller can convert image to latex formulas (image2latex, latex OCR) with higher accuracy and exhibits superior generalization ability, enabling it to cover most usage scenarios.

FITS: Frequency Interpolation Time Series Analysis Baseline

Mamba4Cast, a zero-shot time series forecasting model, achieves competitive performance and faster inference than transformer-based models by leveraging Mamba architecture and synthetic training da…

Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"

a representation learning method that predicts the Fourier transform of state sequences to improve sample efficiency of RL algorithms.

This repository contains the implementation of a method to predict the remaining useful life (RUL) of turbofan engines based on the NASA C-MAPSS dataset. The approach is based on the reference pape…

Here we are predict the water quality level in water and it is a supervised machine learning algorithm use in this dataset.

Time Series Forecasting, Distribution Shift

[CIKM 2023] MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation

[NeurIPS 2024] Continuous Temporal Domain Generalization

This repository contains project materials for the Winter STAT 232 class, University of California, Riverside, A. Gary Anderson School of Management.

this are some of the commands used in the project

IN5000 TU Delft - MSc Computer Science - Data Analysis

Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting

Dataset and code for paper "MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge".

This repository contains the source code for time series regression.

DPI Aware mouse move across screens

🔧 炼丹炉，一堆即插即用的模块，用于深度学习

深度学习中各种即插即用小模块

Official implementation of the paper "FilterNet: Harnessing Frequency Filters for Time Series Forecasting"

RevIN: Reversible Instance Normalization For Accurate Time-series Forecasting Against Distribution Shift

Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"

PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (NeurIPS 2024)

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

Open-Source Implementations of Large Time-Series Models

Tools to Design or Visualize Architecture of Neural Network