218 Open source projects that are alternatives of or similar to DeepAnomalyDetection_benchmark

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

A collection of deep learning models (PyTorch implemtation)

Example of Anomaly Detection using Convolutional Variational Auto-Encoder (CVAE)

Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]

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

anomaly detection with anomalize and Google Trends data

基于智能计算框架nupic的异常检测restful Api.

Resources for working with time series and sequence data

https://events.kaspersky.com/hackathon/

IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder

Industrial knn-based anomaly detection for images. Visit streamlit link to check out the demo.

Implementation of feature engineering from Feature engineering strategies for credit card fraud

Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.

Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"

Implementation of the famous Image Manipulation\Forgery Detector "ManTraNet" in Pytorch

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

Sherlock is an anomaly detection service built on top of Druid

A repository for code accompanying the manuscript 'An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series' (published at TNNLS)

Interactive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js

Mean-Shifted Contrastive Loss for Anomaly Detection

Try to implement deeplab v3+ on pytorch according to offical demo.

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

caffe based mobilenet v2 deploy

No description or website provided.

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

Official code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning' [ICCV 2021]

fast implementation of singular spectrum transformation (change point detection algorithm)

EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax

Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation (CVPR 2021)

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"

Computer vision library for wildfire detection

A quick and dirty vehicle speed detector using video + anomaly detection

Tensorflow 2 Faster-RCNN implementation from scratch supporting to the batch processing with MobileNetV2 and VGG16 backbones

Official PyTorch implementation of the paper “Explainable Deep Few-shot Anomaly Detection with Deviation Networks”, weakly/partially supervised anomaly detection, few-shot anomaly detection, image defect detection.

benfordslaw is about the frequency distribution of leading digits.

Light-weight Single Person Pose Estimator

No description or website provided.

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

yolo3 implement by tensorflow， including mobilenet_v1, mobilenet_v2

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

MemStream: Memory-Based Streaming Anomaly Detection

No description or website provided.

Digital Cell Sorter (DCS): single cell RNA-seq analysis toolkit. Documentation:

Edge TPU Accelerator / Multi-TPU + MobileNet-SSD v2 + Python + Async + LattePandaAlpha/RaspberryPi3/LaptopPC

Official source code of "Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly Machine"

anomaly detection by one-class SVM

An R package for space-time anomaly detection using scan statistics.

A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer".

The Combined Anomalous Object Segmentation (CAOS) Benchmark

Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on J…

⭐ An anomaly-based intrusion detection system.

TOD: GPU-accelerated Outlier Detection via Tensor Operations

No description or website provided.

Deep learning model to estimate the depth of image.

OpenSnitch is a GNU/Linux application firewall

Deploying a Batch Scoring Pipeline for Python Models

Threat Detection & Anomaly Detection rules for popular open-source components