novelty-detection
There are 64 repositories under novelty-detection topic.
yzhao062/pyod
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
visual-layer/fastdup
fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.
Jingkang50/OpenOOD
Benchmarking Generalized Out-of-Distribution Detection
fjchange/awesome-video-anomaly-detection
Papers for Video Anomaly Detection, released codes collection, Performance Comparision.
Jingkang50/OODSurvey
The Official Repository for "Generalized OOD Detection: A Survey"
GuansongPang/ADRepository-Anomaly-detection-datasets
ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.
alinlab/CSI
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)
kkirchheim/pytorch-ood
👽 Out-of-Distribution Detection with PyTorch
aimagelab/novelty-detection
Latent space autoregression for novelty detection.
samet-akcay/skip-ganomaly
Source code for Skip-GANomaly paper
podgorskiy/GPND
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
dlmacedo/entropic-out-of-distribution-detection
A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.
nazim1021/OOD-detection-using-OECC
Outlier Exposure with Confidence Control for Out-of-Distribution Detection
taslimisina/osr-ood-ad-methods
This is the official repository for the paper "A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges".
dlmacedo/distinction-maximization-loss
A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.
Y-oHr-N/kenchi
A scikit-learn compatible library for anomaly detection
Ralmohsen/OSRAAE
Open-set Recognition with Adversarial Autoencoders
zjysteven/MixOE
Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments
dlmacedo/robust-deep-learning
A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.
tim5go/awesome-one-class-classification
A curated list of awesome resources dedicated to One Class Classification.
stuffmatic/microdsp
DSP algorithms and utilities written in Rust. Performant, embedded friendly and no_std compatible.
durgeshsamariya/awesome-outlier-detection-resources
Outlier detection related books and papers.
jgaud/streamndr
Novelty detection for data streams in Python
LordAlucard90/Variational-AutoEncoder-For-Novelty-Detection
A Variational AutoEncoder implemented with Keras and used to perform Novelty Detection with the EMNIST-Letters Dataset.
raun1/ASC-NET
MICCAI 2021 | Adversarial based selective network for unsupervised anomaly segmentation
shaoyijia/CMG
Code for ECML-PKDD 2022 Paper --- CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection
edadaltocg/detectors
Package to accelerate research on generalized out-of-distribution (OOD) detection.
VAlex22/ND_VAE
Implementation of q-Space Novelty Detection with Variational Autoencoders
CyrilWendl/SIE-Master
Density Forests for Uncertainty, SIE Master Project, EPFL, Spring Semester 2018
mesarcik/RFI-NLN
Code for paper entitled "Learning to detect RFI in radio astronomy without seeing it"
vbernardes/minas
Python implementation of the MINAS novelty detection algorithm for data streams.
AngelikiTsintzira/Continuous-implicit-authentication-of-smartphone-users-using-navigation-data
This project, proposes a methodology for continuous implicit authentication of smartphones users, using the navigation data, in order to improve the security and ensure the privacy of sensitive personal data.
apooreapo/Audio-Speech-Music-classification
Audio to speech/music classification
fandulu/SsVGMM
A semi-supervised variational Gaussian mixture model
mala-lab/ADRepository-Anomaly-detection-datasets
Popular real-world datasets for anomaly detection on tabular data, graph data, image data, time series data, and video data
mesarcik/NLN
Code for paper entitled "Improving Novelty Detection using the Reconstructions of Nearest Neighbours"