This repo is the official implementation of paper: "Integrating Mamba and Transformer for Long-Short Range Time Series Forecasting"

⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

T-Mamba: Frequency-Enhanced Gated Long-Range Dependency for Tooth 3D CBCT Segmentation.

[arXiv] The official code for "UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion Segmentation".

[CVPR'24] Neural Clustering based Visual Representation Learning

Official PyTorch implementation of "ProtoDiffusion: Classifier-Free Diffusion Guidance with Prototype Learning"

Multi-scale Information Diffusion Prediction with Sequential Hypergraphs

Large Kernel Frenquency-enhanced Network for Efficient Single Image Super-Resolution

Memory-augmented Online Video Anomaly Detection

Simba

[MIR 24] Fully 1x1 Convolutional Network for Lightweight Image Super-Resolution

A unified time series model.

[AAAI 2024] LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection

FVessel: Benchmark Dataset for Vessel Detection, Tracking, and Data Fusion

Multi-modal badminton stroke dataset across various skill level

[MICCAI-2023] Official Implementation for "UPCoL: Uncertainty-informed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation"

The pytroch implement of the TaylorS framework

Official code of the paper "Fine-Grained Prototypes Distillation for Few-Shot Object Detection (AAAI 2024)"

Pytorch Implementation of FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space

A toolkit for Light Log Anomaly Detection [ICSE'24]

Large Language Models for Time Series.

PRISM: Leveraging Prototype Patient Representations with Feature-Missing-Aware Calibration for EHR Data Sparsity Mitigation

A machine learning toolkit for log parsing [ICSE'19, DSN'16]

FSL-Mate: A collection of resources for few-shot learning (FSL).

A list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).