mona141200

mona141200's Stars

• fossasia/visdom

  A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

  Language:Python9.9k1.1k

• Randl/ShuffleNetV2-pytorch

  Implementation of ShuffleNetV2 for pytorch

  Language:Python18952

• denguir/student-teacher-anomaly-detection

  Student–Teacher Anomaly Detection with Discriminative Latent Embeddings

  Language:Python17943

• taikiinoue45/STAD

  Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings

  Language:Python8418

• shjo-april/PuzzleCAM

  [ICIP 2021] Puzzle-CAM: Improved localization via matching partial and full features.

  Language:Python17147

• weichen582/Unsupervised-Visual-Recognition-by-Solving-Arbitrary-Puzzles

  Tensorflow implementation for this paper.

  Language:Python222

• nuclearboy95/Anomaly-Detection-PatchSVDD-PyTorch

  Language:Python24256

• byungjae89/SPADE-pytorch

  PyTorch implementation of "Sub-Image Anomaly Detection with Deep Pyramid Correspondences"

  Language:Python22642

• xiahaifeng1995/PaDiM-Anomaly-Detection-Localization-master

  This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”.

  Language:Python37991

• liznerski/fcdd

  Repository for the Explainable Deep One-Class Classification paper

  Language:Python21860

• Niousha12/Puzzle_Anomaly_Detection

  Language:Python86

• bethgelab/imagecorruptions

  Python package to corrupt arbitrary images.

  Language:Python38562

• aleju/imgaug

  Image augmentation for machine learning experiments.

  Language:Python14.2k2.4k

• MehdiNoroozi/JigsawPuzzleSolver

  Language:Jupyter Notebook5023

• amobiny/Self-Supervised_Jigsaw_Puzzle

  implementation of the paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles" in TensorFlow and Keras

  Language:Python228

• bbrattoli/JigsawPuzzlePytorch

  Pytorch implementation of the method from the paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles"

  Language:Python16347

• pkmr06/pytorch-smoothgrad

  SmoothGrad implementation in PyTorch

  Language:Python16434

• gidariss/wDAE_GNN_FewShot

  Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning

  Language:Python15622

• YoungGod/DFR

  Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction

  Language:Python8825

• msminhas93/anomaly-detection-using-autoencoders

  This is the implementation of Semi-supervised Anomaly Detection using AutoEncoders

  Language:Jupyter Notebook5628

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

  Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

  Language:Python12025

• marian42/butterflies

  🦋 Using deep learning to process images of butterflies from the NHM data portal

  Language:Python468

• cheapthrillandwine/Improving_Unsupervised_Defect_Segmentation

  This is Keras code from "Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders".

  Language:Jupyter Notebook5316

• AdneneBoumessouer/MVTec-Anomaly-Detection

  This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.

  Language:Python26759

• ekremcet/AEFPNC

  Image Denoising Using Deep Convolutional Autoencoder with Feature Pyramids

  Language:Python115

• ShayanPersonal/stacked-autoencoder-pytorch

  Stacked denoising convolutional autoencoder written in Pytorch for some experiments.

  Language:Python11932

• rasbt/deeplearning-models

  A collection of various deep learning architectures, models, and tips

  Language:Jupyter Notebook16.4k4k

• pranjaldatta/Denoising-Autoencoder-in-Pytorch

  A Pytorch Implementation of a denoising autoencoder.

  Language:Jupyter Notebook4119

• NVlabs/SPADE

  Semantic Image Synthesis with SPADE

  Language:Python7.6k983

• ramarlina/DenoisingAutoEncoder

  Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation

  Language:Python14548