emathian

emathian's Stars

• lucas-diedrich/dvp-io

  Read/write functions to and from spatialdata for Deep Visual Proteomics

  Language:Python52

• impromptuRong/hd_wsi

  Language:JavaScript303

• jean-zay-users/jean-zay-doc

  Collaborative documentation for and from Jean Zay users. Official Jean Zay documentation: http://www.idris.fr/eng/jean-zay/

  11834

• mahmoodlab/CONCH

  A vision-language foundation model for computational pathology - Nature Medicine

  Language:Python34129

• Sanofi-Public/DDS-RoFormerMIL

  Language:Python21

• cran/survivalROC

  :exclamation: This is a read-only mirror of the CRAN R package repository. survivalROC — Time-Dependent ROC Curve Estimation from Censored Survival Data

  Language:R61

• gudovskiy/cflow-ad

  Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"

  Language:Python25463

• szc19990412/TransMIL

  TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification

  Language:Python38975

• facebookresearch/mae

  PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

  Language:Python7.7k1.3k

• fnasri1/deit-ECL

  Language:Jupyter Notebook1

• gathierry/FastFlow

  Language:Python13827

• AlessioGalluccio/FastFlow

  an implementation of the architecture of FastFlow (Jiawei Yu et al.)

  Language:Python4113

• open-edge-platform/anomalib

  An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

  Language:Python4.2k725

• Runinho/pytorch-cutpaste

  unoffical and work in progress PyTorch implementation of CutPaste

  Language:Python24554

• microsoft/Swin-Transformer

  This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

  Language:Python14.6k2.1k

• YoungGod/DFR

  Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction

  Language:Python9525

• plutoyuxie/AutoEncoder-SSIM-for-unsupervised-anomaly-detection-

  Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

  Language:Python12626

• lukemelas/PyTorch-Pretrained-ViT

  Vision Transformer (ViT) in PyTorch

  Language:Python828127

• YangYang-SHU/SAAE-DFR

  This is a code implemention for paper "Self-Attention Autoencoder for Anomaly Segmentation"

  Language:Python41

• vdumoulin/conv_arithmetic

  A technical report on convolution arithmetic in the context of deep learning

  Language:TeX14.3k2.3k

• alexyalunin/transformer-autoencoder

  Autoencoder version on Transformer model using PyTorch

  Language:Jupyter Notebook274

• VainF/pytorch-msssim

  Fast and differentiable MS-SSIM and SSIM for pytorch.

  Language:Python1.2k126

• sagelywizard/pytorch-mdn

  Mixture Density Networks for PyTorch

  Language:Python21950

• axelbrando/Mixture-Density-Networks-for-distribution-and-uncertainty-estimation

  A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

  Language:Jupyter Notebook34991

• denguir/student-teacher-anomaly-detection

  Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

  Language:Python18445

• SBU-BMI/multi_instance_cnn

  Language:Python21

• CODAIT/deep-histopath

  A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

  Language:Jupyter Notebook21088

• emathian/VT_ADL

  Language:Jupyter Notebook21

• emathian/MIL_RNN

  Language:Jupyter Notebook1

• lucidrains/halonet-pytorch

  Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones

  Language:Python19821