chopper-233 Goto Github PK

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anomaly-shapenet

Official Anomaly-ShapeNet

autoencoder-ssim-for-unsupervised-anomaly-detection-

Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

chopper-233

Config files for my GitHub profile.

chopper233.github.io

ddpms-for-image-inpainting

University of Cambridge Part II Project and Dissertation: Denoising Diffusion Probabilistic Models for Image Inpainting

ddrm

[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository

deep-unsupervised-domain-adaptation

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

denoisingae

Denoising autoencoders for anomaly detection in medical imaging

diffusion-models-papers-survey-taxonomy

Diffusion model papers, survey, and taxonomy

draem

guided-diffusion

iccv2021-paper-code-interpretation

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

improved-diffusion

Release for Improved Denoising Diffusion Probabilistic Models

knowledge_distillation_ad

loss-landscape

Code for visualizing the loss landscape of neural nets

lung-segmentation-by-image-processing

Lung segmentation on Chest-Xray dataset by traditional image processing method

medical-data

puzzle_anomaly_detection

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-domain-adaptation

A collection of implementations of adversarial domain adaptation algorithms

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch-yolov7

使用yolov7训练自己的数据集

repaint

Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022

surface-defect-detection

缺陷检测文献记录

surface-defect-detection-1

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

wenqiao.github.io

My HomePage

xraylung-segmentation

Level set method for image segmentation . In the attached code, an implementation of semantic segmentation of lungs from CXR (Chest XRays) images can be found on Matlab.

yolov7offical

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors