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ReplyTeX: Latex Template for Review Comments of Papers

KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks (ICML2025)

[ICLR 2025 Spotlight] Official implementation of "Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts"

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Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

Official repository for the paper "When Model Meets New Normals: Test-time Adaptation for Unsupervised Time-series Anomaly Detection", AAAI 2024.

Uniform Manifold Approximation and Projection

Pytorch implementation for t-SNE with cuda to accelerate

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

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

[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

PatchAD, TBD 2025, deep learning, anomaly detection, outlier detection, time series, PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection

Robust Speech Recognition via Large-Scale Weak Supervision

Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)

Unofficial implementation of "Fast RobustSTL: Efficient and Robust Seasonal-Trend Decomposition for Time Series with Complex Patterns"

Unsupervised Anomaly Detection System for Univariate Time Series

[VLDB 2023] Model Selection for Anomaly Detection in Time Series

TSDE is a novel SSL framework for TSRL, the first of its kind, effectively harnessing a diffusion process, conditioned on an innovative dual-orthogonal Transformer encoder architecture with a cross…

Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'

DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.

Structured state space sequence models

Official PyTorch implementation of TSDiff models presented in the NeurIPS 2023 paper "Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting"

Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models, KDD 2023

An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection