yangtao-hub

yangtao-hub's Stars

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python11k1.6k

• lewandofskee/DiAD

  Official implementation of DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.

  Language:Python15819

• zhiyuanyou/UniAD

  [NeurIPS 2022 Spotlight] A Unified Model for Multi-class Anomaly Detection

  Language:Python27029

• tensorly/tensorly

  TensorLy: Tensor Learning in Python.

  Language:Python1.6k293

• YevgenyW/robust-PCA

  Decomposition into Low-Rank and Sparse Matrices in Computer Vision

  Language:Python142

• shimo-lab/splr

  Python package to handle matrices written as the sum of a low rank and a sparse matrix (under development)

  Language:Python2

• ANRGUSC/smile-network-localization

  SMILE: Robust Network Localization via Sparse and Low-Rank Matrix Decomposition

  Language:Python41

• andrewssobral/lrslibrary

  Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

  Language:MATLAB845378

• pmeier/light-the-torch

  Install PyTorch distributions with computation backend auto-detection

  Language:Python2277

• fepegar/torchio

  Medical imaging toolkit for deep learning

  Language:Python2.1k240

• tianyu0207/IGD

  Official code for 'Deep One-Class Classification via Interpolated Gaussian Descriptor' [AAAI 2022 Oral]

  Language:Python658

• nuclearboy95/Anomaly-Detection-PatchSVDD-PyTorch

  Language:Python25156

• AutoSurveys/AutoSurvey

  Language:Python30320

• BAAI-DCAI/M3D

  M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models

  Language:Python24113

• csyfjiang/M4oE

  Language:Python221

• M-Nauta/PIPNet

  PIP-Net: Patch-based Intuitive Prototypes Network for Interpretable Image Classification (CVPR 2023)

  Language:Python6520

• Auburn/FastNoiseLite

  Fast Portable Noise Library - C# C++ C Java HLSL GLSL JavaScript Rust Go

  Language:Rust2.9k331

• Julian-Wyatt/AnoDDPM

  CVPR Workshop paper - AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise

  Language:Python18129

• bradykieffer/SimplexNoise

  A simplex noise implementation in python.

  Language:Python195

• pvigier/perlin-numpy

  A fast and simple perlin noise generator using numpy

  Language:Python30950

• donggong1/memae-anomaly-detection

  MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

  Language:Python476104

• jemtan/FPI

  Code for FPI submission to MOOD 2020

  Language:Jupyter Notebook163

• rximg/EfficientAD

  unofficial version of EfficientAD

  Language:Python12521

• StefanDenn3r/Unsupervised_Anomaly_Detection_Brain_MRI

  Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study

  Language:Python18334

• mazurowski-lab/picard-anomalydetection

  Pluralistic Image Completion for Anomaly Detection (Med. Image Anal. 2023)

  Language:Python71

• AntanasKascenas/DenoisingAE

  Denoising autoencoders for anomaly detection in medical imaging

  Language:Python457

• jusiro/constrained_anomaly_segmentation

  [MedIA'22] Constrained unsupervised anomaly segmentation.

  Language:Python192

• guojiajeremy/EDC

  Language:Python13

• A03ki/f-AnoGAN

  Implementation of f-AnoGAN with PyTorch

  Language:Python13937

• tSchlegl/f-AnoGAN

  Code for reproducing f-AnoGAN training and anomaly scoring

  Language:Python25266