443 Open source projects that are alternatives of or similar to drama

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

TOD: GPU-accelerated Outlier Detection via Tensor Operations

Supplementary material for KDD 2018 workshop "DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles"

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

A thesis submitted for the degree of Master of Science in Computer Networks and Security

Code for reproducing f-AnoGAN in Pytorch

(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning

ADRepository: Real-world anomaly detection datasets

A scikit-learn compatible library for anomaly detection

DDC-Outlier: Preventing medication errors using unsupervised learning

A curated list of awesome anomaly detection resources

List of tools & datasets for anomaly detection on time-series data.

anomaly detection with anomalize and Google Trends data

Feature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)

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.

Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)

A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

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

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

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

Anomaly Detection and Correlation library

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Latent space autoregression for novelty detection.

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

Anomaly detection related books, papers, videos, and toolboxes

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

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[ICCVW 2021] Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement

An Tensorflow Re-Implement of CVPR 2019 "Object-centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video"

Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"

Fairness regulator and rate limiter

CoRA Docs

A Ground Mobile Robot Perception Dataset, IEEE RA-L & IEEE T-CYB

The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks

pyge: Holiday Gift Exchange Picker

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

PyTorch open-source toolbox for unsupervised or domain adaptive object re-ID.

Arduino library for identifying outliers with a Hampel filter

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.

An unsupervised Chinese word segmentation tool.

UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss

[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration

[CVPR 2017] Unsupervised deep learning using unlabelled videos on the web

VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.

Contrastive Predictive Coding for Automatic Speaker Verification

This is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering

[MICCAI'18] Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

Solve many kinds of least-squares and matrix-recovery problems

Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

Learning Depth from Monocular Videos using Direct Methods, CVPR 2018

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

A parallel implementation of local outlier factor based on Spark

How to do Unsupervised Clustering with Keras

A Python library for anomaly detection