[KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting

[KDD 2025] DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting

Official PyTorch implementation of Rethinking Guidance Information to Utilize Unlabeled Samples: A Label-Encoding Perspective.

Official PyTorch implementation of Domain-Guided Conditional Diffusion Model for Unsupervised Domain Adaptation

[AAAI2025] Predicting the Original Appearance of Damaged Historical Documents

A survey on harmful fine-tuning attack for large language model

This is the official code for the paper "Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning" (NeurIPS2024)

This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)

This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation" (ICLR2025).

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

[ICML 2024] Official implementation of: "Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling".

Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star

A Fair and Scalable Time Series Forecasting Benchmark and Toolkit.

TimeBridge: Non-Stationarity Matters for Long-term Time Series Forecasting

[IEEE TETCI 2025] Official repository of the PETformer paper: "PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer". This work is developed by the Lab of Professor Wei…

Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

The code of RouterDC

[NeurIPS 2024 Spotlight] Official repository of the CycleNet paper: "CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns". This work is developed by the Lab of Professor …

[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputatio…

《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

Unified Training of Universal Time Series Forecasting Transformers

Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Forecasting.

Official implementation of UPOCR: Towards unified pixel-level OCR interface (ICML 2024)

A paper collection of recent diffusion models for text-image generation tasks, e,g., visual text generation, font generation, text removal, text image super resolution, text editing, handwritten ge…

[AAAI2024] FontDiffuser: One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning

Combining MMOCR with Segment Anything & Stable Diffusion. Automatically detect, recognize and segment text instances, with serval downstream tasks, e.g., Text Removal and Text Inpainting