jianzhuwang,Jianzhu Wang,github

2d-shape-generator

A simple generator for parametrically varied 2d shape stimuli

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

adabound

An optimizer that trains as fast as Adam and as good as SGD.

adn

ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction

advae

PyTorch implementation of paper: adVAE: a Self-adversarial Variational Autoencoder with Gaussian Anomaly Prior Knowledge for Anomaly Detection

aet

Auto-Encoding Transformations (AETv1), CVPR 2019

albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

anogan-pytorch

Pytorch implementation of "Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery"

augmentor

Image augmentation library in Python for machine learning.

auto-encoder

Auto-encoder on torch - trying out the various AEs

autoencoder

Convolutional Autoencoder with SetNet in PyTorch

autoencoders-variants

Pytorch implementations of various types of autoencoders

autoencoding-beyond-pixels

PyTorch Implementation of Autoencoding Beyond Pixels Using A Learned Similarity Metric

autoencoding_beyond_pixels

Generative image model with learned similarity measures

awesome-contrastive-self-supervised-learning

A comprehensive list of awesome contrastive self-supervised learning papers.

binary-segmentation-evaluation-tool

This repo is developed for evaluating binary image segmentation results. Measures, such as MAE, Precision, Recall, F-measure, PR curves and F-measure curves are included.