saikumarkethi Goto Github PK

anomaly-detection-in-images

anomaly-detection-in-videos

anomaly_detection_under_varying_visibility

Anomaly detection in the surveillance videos under varying visibility (day-night and sunny-rainy)

anomaly_prediction

Pytorch implementation of anomaly prediction.

assessment

cool-papers-in-pytorch

Reimplementing cool papers in PyTorch...

dc-unet

We proposed a novel U-Net-based model -- DC-UNet to do segmentation on public medical datasets.

explicitsemanticsneo4j

kdd-ids

Unsupervised IDS implementation of KDDcup 99 Dataset

local-global

Official implementation of Lung Nodule Classification using Deep Local-Global Networks using PyTorch

memae

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

memae-1

Implementation of Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection.

memae-2

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

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.

memae-tf

TF 2.0 - Keras implementation of MemAE for anomaly detection. -- Gong, Dong, et al. "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection". ICCV 2019.

paint.github.io

pytorch-beginner

pytorch tutorial for beginners

sai

saikumarkethi

Config files for my GitHub profile.

saikumarkethi.github.io

signature_extractor

A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.

sporty_guru

Internship Assignment

totality_assessment

totalityassignment

Assignment for Totality Corp

unet-version