How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
The main features of cqylunlun/glass are: Anomaly Detection.
Projects with overlapping indexed features include: byungjae89/mahalanobisad-pytorch. byungjae89/spade-pytorch — PyTorch implementation of "Sub-Image Anomaly Detection with Deep Pyramid Correspondences". gitihubi/deepai — An interactive lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of… hcw-00/patchcore_anomaly_detection. xiahaifeng1995/padim-anomaly-detection-localization-master — This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly…
PyTorch implementation of "Sub-Image Anomaly Detection with Deep Pyramid Correspondences"
An interactive lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The the lab content is based on Python, IPython Notebook, and PyTorch.