guoyang-xie Goto Github PK

3d-ads

Official Implementation for the "An Empirical Investigation of 3D Anomaly Detection and Segmentation" paper.

ac-vaegan-pytorch

Implementation of a Conditional Variational Auto-Encoder GAN in pytorch

active_learning_coreset

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

adanet

[ICCV 2019 oral] Code for Semi-Supervised Learning by Augmented Distribution Alignment

adrepository-anomaly-detection-datasets

ADRepository: Real-world anomaly detection datasets

align_uniform

Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere.

anodet

Anomaly detection on images using features from pretrained neural networks.

anomalib

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

atom3d

ATOM3D: tasks on molecules in three dimensions

aunaturel

Au Naturel is a LaTeX template built on top of the standard article class, roughly emulating some characteristics of the Nature Publishing Group journals.

autoencoding-beyond-pixels-using-a-learned-similarity-metric

A tensorflow implementation of VAE-GAN. This is the first approach which viewed the discriminator as a loss function to improve.

autoencoding_beyond_pixels

Generative image model with learned similarity measures

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-drugai

Research repo for AI aided drug discovery, de novo drug development and related topics

awesome-latex-cv

Latex CV template built with Font Awesome.

awesome-long-tailed-learning

awesome-multimodal-brain-image-systhesis

awesome-multimodal-brain-image-systhesis-1

awesome-point-clouds-registration

A list of papers about point clouds registration

brain-tumor-anomaly-detection-and-segmentation

TEAM: Aasha, Ronak, Chinmay, Manmeet

brain-tumor-segmentation-using-deep-learning

#BRATS2015 #BRATS2018 #deep learning #fully automatic brain tumor segmentation #U-net # tensorflow #Keras

brats21_kaist_mri_lab

Codes and pretrained weights for winning submission of 2021 Brain Tumor Segmentation (BraTS) Challenge

byol

Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

code_contests

conad

Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)

contractive-autoencoder

Hands on Contractive Autoencoder

contrad

Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)

convmae

ConvMAE: Masked Convolution Meets Masked Autoencoders

copula-ib-public