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anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

bisenet

Implementation of BiSeNet and BiSeNetV2

bisenet-v2

Add bisenetv2. My implementation of BiSeNet

bisenetv2-tensorflow

Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"

bosch-engine-datasets

cnc_machining

data set for process monitoring on CNC machines

cs50p

My Solutions to the Harvard CS50P Problem Sets

cs550

Machine Learning Course at IIT Bhilai

dsp505

DSP505 Major Project

end-to-end-time-series-demo

This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK

handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hierarchical_anomaly_detection

Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and features" (NeurIPS 2020)

hts_time-series

Aggregation through trace minimization

hydraulic-eol-testing

Multivariate Time Series Data usable for Time Series Segmentation and Time Series Classification. Each sample represents the multi-phased End-of-Line-Testing Cycle of one hydraulic pump (9 sensors). For confidentality reasons, the data were normalized and the sensor names anonymized.

industrial-ml-datasets

A curated list of datasets, publically available for machine learning research in the area of manufacturing

iot-event-analytics

IoT Event Analytics, is a complex and freely scalable event processing and agent network platform

latentoe-ad

Coder of the paper 'Latent Outlier Exposure for Anomaly Detectin with Contaminated Data' published in ICML 2022

local_neural_transformations

Companion code for the self-supervised anomaly detection algorithm proposed in the paper "Detecting Anomalies within Time Series using Local Neural Transformations" by Tim Schneider et al.

nab

The Numenta Anomaly Benchmark

neutral-ad

Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021

paddleseg

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pytorchvideo

A deep learning library for video understanding research.

realtime-semantic-segmentation-pytorch

PyTorch implementation of over 30 realtime semantic segmentations models, e.g. BiSeNetv1, BiSeNetv2, CGNet, ContextNet, DABNet, DDRNet, EDANet, ENet, ERFNet, ESPNet, ESPNetv2, FastSCNN, ICNet, LEDNet, LinkNet, PP-LiteSeg, SegNet, ShelfNet, STDC, SwiftNet, and support knowledge distillation, distributed training etc.

safezone-real-time-video-analytics-for-industrial-safety

SafeZone: Real-time Video Analytics for Industrial Safety

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

semantic-guided-low-light-image-enhancement

This is the official Pytorch implementation for our paper "Semantic-Guided Zero-Shot Learning for Low-Light Image/Video Enhancement."

skab

SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.

tensorflow-deep-learning

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.