jianzhuwang Goto Github PK

dfr

Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

f-anogan

Implementation of f-AnoGAN with PyTorch

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

geomdl-examples

Example scripts for the NURBS-Python (geomdl) package

gradcon-anomaly

Code for ECCV 2020 paper "Backpropagated Gradient Representations for Anomaly Detection"

imagecorruptions

Python package to corrupt arbitrary images.

image_segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

industrial-surface-inspection-datasets

Datasets for industrial surface-inspection

insulatordataset

Provide normal insulator images captured by UAVs and synthetic defective insulator images.

irmae

PyTorch implementation of IRMAE https//arxiv.org/abs/2010.00679

latex-template-cn

\LaTeX 中文模版收集。

learnml

📝📝📝Learning Machine Learning/Deep Learning

lm_filter_bank_python

Python code for generating Leung-Malik (LM) filter bank that is typically used in texture analysis and classification.

lrslibrary

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

lsd-seg

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接

metal-defect-detection

Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning

microscopygan

Multi-defect microscopy image restoration under limited data conditions

mst-python

A python re-implementation of Real-Time Salient Object Detection with a Minimum Spanning Tree, CVPR 2016

nsfc-application-template-latex

国家自然科学基金申请书正文（面上项目）模板（非官方）

oct_preprocess

OCT preprocessing: Fully Convolutional Boundary Regression for Retina OCT Segmentation

orthogonallowrankembedding

patchify.py

A library that helps you split image into small, overlappable patches, and merge patches into original image.

pdfautorenametools

PDF论文自动改名

perceptual-autoencoders

Experiments with perceptual loss and autoencoders.

pgn_anomaly_detection

Prior Generating Networks for Anomaly Detection

py-glcm

Highly efficient GLCM/X-GLCM feature extractor for python.

pysal

A python toolbox for computing image saliency

python_machine_learning

it contains all my python demo code accompanying my machine learning notes