Voruarn

Voruarn's Stars

• Snailclimb/JavaGuide

  「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

  Language:Java148k4.5k1.1k45.7k

• linlinjava/litemall

  又一个小商城。litemall = Spring Boot后端 + Vue管理员前端 + 微信小程序用户前端 + Vue用户移动端

  Language:Java19.4k7323657.2k

• macrozheng/mall-swarm

  mall-swarm是一套微服务商城系统，采用了 Spring Cloud Alibaba、Spring Boot 3.2、Sa-Token、MyBatis、Elasticsearch、Docker、Kubernetes等核心技术，同时提供了基于Vue的管理后台方便快速搭建系统。mall-swarm在电商业务的基础集成了注册中心、配置中心、监控中心、网关等系统功能。

  Language:Java12k2771195.3k

• DepthAnything/Depth-Anything-V2

  [NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation

  Language:Python4.2k35212365

• MzeroMiko/VMamba

  VMamba: Visual State Space Models，code is based on mamba

  Language:Python2.3k17342152

• thuml/iTransformer

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

  Language:Python1.4k10147230

• chickenbestlover/RNN-Time-series-Anomaly-Detection

  RNN based Time-series Anomaly detector model implemented in Pytorch.

  Language:Python1.2k3752316

• sintel-dev/Orion

  Library for detecting anomalies in signals

  Language:Python1.1k32298163

• thuml/Anomaly-Transformer

  About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

  Language:Python7801072207

• rymcu/forest

  forest(森林)——一款现代化的知识社区后台项目，使用 SpringBoot + Shiro + MyBatis + JWT + Redis 实现

  Language:Java738335137

• EPFL-VILAB/MultiMAE

  MultiMAE: Multi-modal Multi-task Masked Autoencoders, ECCV 2022

  Language:Python555133459

• imperial-qore/TranAD

  [VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

  Language:Python538110162

• JCruan519/VM-UNet

  (ARXIV24) This is the official code repository for "VM-UNet: Vision Mamba UNet for Medical Image Segmentation".

  Language:Python53748727

• ziyangwang007/Mamba-UNet

  Mamba-UNet Zoo

  Language:Python51313240

• ML4ITS/mtad-gat-pytorch

  PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

  Language:Python34183581

• Gsunshine/Enjoy-Hamburger

  [ICLR 2021 top 3%] Is Attention Better Than Matrix Decomposition?

  Language:Python32871121

• JiarunLiu/Swin-UMamba

  Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining

  Language:Python25931818

• sunsmarterjie/iTPN

  (CVPR2023/TPAMI2024) Integrally Pre-Trained Transformer Pyramid Networks -- A Hierarchical Vision Transformer for Masked Image Modeling

  Language:Python1787175

• VCIP-RGBD/DFormer

  [ICLR 2024] DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation

  Language:Python16473126

• OpsPAI/MTAD

  MTAD: Tools and Benchmark for Multivariate Time Series Anomaly Detection

  Language:Python1045617

• UCSC-VLAA/DMAE

  [CVPR 2023] This repository includes the official implementation our paper "Masked Autoencoders Enable Efficient Knowledge Distillers"

  Language:Python103585

• jiwei0921/RGBD-SOD-datasets

  All those partitioned RGB-D Saliency Datasets we collected are shared in ready-to-use manner.

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• zqhang/MTGFLOW

  Official implmentation of AAAI'23 paper 'Detecting Multivariate Time Series Anomalies with Zero Known Label'.

  Language:Python5111412

• CSTCloudOps/FCVAE

  Code of FCVAE accepted by WWW 2024

  Language:Python50028

• Hydragon516/SPSN

  [ECCV 2022] Superpixel Prototype Sampling Network for RGB-D Salient Object Detection

  Language:Python48214

• Jacky-Android/convnext-v2-pytorch

  Language:Python42152

• Xiaoqi-Zhao-DLUT/SSLSOD

  (AAAI 2022) Self-Supervised Pretraining for RGB-D Salient Object Detection

  Language:Python38434

• gunny97/MEMTO

  MEMTO accepted at NeurIPS 2023

  Language:Python33276

• lartpang/CAVER

  CAVER: Cross-Modal View-Mixed Transformer for Bi-Modal Salient Object Detection

  Language:Python31404

• weihao-bo/BASNet

  The PyTorch code for IEEE TGRS paper "BASNet: Burned Area Segmentation Network for Real-Time Detection of Damage Maps in Remote Sensing Images"

  Language:Python6200