beloborodova-t

beloborodova-t's Stars

• Julian-Wyatt/AnoDDPM

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

  Language:Python16628

• yangxy/PASD

  [ECCV2024] Pixel-Aware Stable Diffusion for Realistic Image Super-Resolution and Personalized Stylization

  Language:Python88261

• choosehappy/public

  Language:Jupyter Notebook7770

• Kou2004/VAE_Classification

  Using VAE doing image analysis on the galaxy10 dataset (Semi-Supervised Learning)

  Language:Jupyter Notebook2

• rosasalberto/mil

  Multiple instance learning library for Python

  Language:Python5911

• andruekonst/opencv-python

  Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.

  2

• andruekonst/mamil

  Multi-Attention Multiple Instance Learning

  Language:Jupyter Notebook5

• andruekonst/attention-forest

  Language:Python91

• jmg764/Attention-Based-Deep-Multiple-Instance-Learning

  Constructed attention-based deep multiple instance learning model using PyTorch and trained on 624 whole slide images of digitized H&E-stained prostate biopsies using AWS SageMaker’s data parallelism toolkit.

  Language:Jupyter Notebook194

• impromptuRong/hd_wsi

  Language:JavaScript223

• Project-MONAI/tutorials

  MONAI Tutorials

  Language:Jupyter Notebook1.8k675

• TissueImageAnalytics/tiatoolbox

  Computational Pathology Toolbox developed by TIA Centre, University of Warwick.

  Language:Python37677

• bnsreenu/python_for_microscopists

  https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

  Language:Jupyter Notebook3.9k2.4k

• avakanski/Evaluation-of-Complexity-Measures-for-Deep-Learning-Generalization-in-Medical-Image-Analysis

  Empirical study that reports the correlation between complexity measures and generalization performance by deep learning models on medical images

  Language:Jupyter Notebook131

• ufoym/imbalanced-dataset-sampler

  A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

  Language:Python2.3k264

• akashpalrecha/classification_oversampling

  Utility package to help in oversampling images in Image Classification tasks

  Language:Python3

• wenqi006/SlideGraph

  Language:Python4910