koba-jon

KeypointMatching_AKAZE

Keypoint-matching (AKAZE method) using OpenCV library

DRAEM

anomalib

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

patchcore-inspection

FractalDB-Pretrained-ResNet-PyTorch

Pre-training without Natural Images (ACCV 2020 Best Paper Honorable Mention Award)

memae

Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection (MemAE)

memae-anomaly-detection

MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

pytorch-wgan

Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP

normalizing_flows

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

nflows

Normalizing flows in PyTorch

MPRGDeepLearningLectureNotebook

pytorch-optimizer

torch-optimizer -- collection of optimizers for Pytorch

darknet

Convolutional Neural Networks

pytorch-CycleGAN-and-pix2pix

Image-to-Image Translation in PyTorch