novelty-detection

There are 8 repositories under novelty-detection topic.

yzhao062 / pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
anomaly anomaly-detection autoencoder data-analysis data-mining data-science deep-learning fraud-detection machine-learning neural-networks novelty-detection out-of-distribution-detection outlier-detection outlier-ensembles outliers python python3 unsupervised-learning
Language:Python 8447
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.
data-curation dataset deep-learning image-duplicate-detection machine-learning novelty-detection object-detection outlier-detection python visual-search data-augmentation image-classification image image-classfication image-processing visualization-tools image-analysis visualization image-similarity
Language:Python 1572
OpenOOD
Jingkang50 / OpenOOD
Benchmarking Generalized Out-of-Distribution Detection
out-of-distribution-detection anomaly-detection open-set-recognition novelty-detection outlier-detection robustness
Language:Python 833
fjchange / awesome-video-anomaly-detection
Papers for Video Anomaly Detection, released codes collection, Performance Comparision.
abnormal-events anomalies awesome deep-learning detection novelty-detection papers surveillance-videos video-anomaly-detection
581
Jingkang50 / OODSurvey
The Official Repository for "Generalized OOD Detection: A Survey"
anomaly-detection novelty-detection ood-detection open-set-recognition out-of-distribution-detection outlier-detection
Language:Jupyter Notebook 439
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.
anomaly-detection outlier-detection novelty-detection dataset time-series-anomaly-detection video-anomaly-detection graph-anomaly-detection image-anomaly-detection out-of-distribution-detection unsupervised-anomaly-detection semi-supervised-anomaly-detection weakly-supervised-anomaly-detection
355
alinlab / CSI
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)
novelty-detection anomaly-detection out-of-distribution-detection contrastive-learning
Language:Python 273
kkirchheim / pytorch-ood
👽 Out-of-Distribution Detection with PyTorch
anomaly-detection confidence-estimation deep-learning neural-network novelty-detection ood-detection open-set-recognition pytorch
Language:Python 235
aimagelab / novelty-detection
Latent space autoregression for novelty detection.
anomaly-detection computer-vision cvpr2019 deep-learning novelty-detection unsupervised-learning
Language:Python 196
samet-akcay / skip-ganomaly
Source code for Skip-GANomaly paper
anomaly-detection novelty-detection pytorch ijcnn
Language:Python 191
podgorskiy / GPND
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
deep-learning deep-neural-networks deep-novelty-detection novelty-detection anomaly-detection adversarial-learning autoencoder pytorch generative-adversarial-network gan adversarial-autoencoders probability aae novelty-detector mnist pdf machine-learning nips-2018
Language:Python 129
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.
pytorch deep-learning out-of-distribution-detection out-of-distribution machine-learning trustworthy-ai ai-safety anomaly-detection novelty-detection robust-machine-learning trustworthy-machine-learning ood ood-detection osr open-set-recognition open-set
Language:Python 74
nazim1021 / OOD-detection-using-OECC
Outlier Exposure with Confidence Control for Out-of-Distribution Detection
out-of-distribution-detection confidence-control calibration outlier-exposure anomaly-detection in-distribution novelty-detection deep-learning pytorch
Language:Jupyter Notebook 69
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".
anomaly-detection novelty-detection open-set-recognition out-of-distribution-detection
Language:Python 57
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.
classification deep-learning machine-learning open-set-recognition out-of-distribution-detection pytorch robust-machine-learning trustworthy-ai trustworthy-machine-learning uncertainty-estimation ai-safety anomaly-detection novelty-detection ood ood-detection open-set osr out-of-distribution
Language:Python 45
Y-oHr-N / kenchi
A scikit-learn compatible library for anomaly detection
anomaly-detection data-mining data-science machine-learning novelty-detection one-class-classification outlier-detection scikit-learn statistics
Language:Python 36
Ralmohsen / OSRAAE
Open-set Recognition with Adversarial Autoencoders
deep-learning deep-neural-networks deep-novelty-detection novelty-detection anomaly-detection adversarial-learning autoencoder pytorch generative-adversarial-network gan adversarial-autoencoders probability aae novelty-detector mnist machine-learning nips-2018 wiml
Language:Python 34
zjysteven / MixOE
[WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments
out-of-distribution-detection fine-grained-classification fine-grained-recognition outlier-exposure novelty-detection openset-recognition
Language:Python 24
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.
classification deep-learning deep-neural-networks machine-learning ood-detection open-set open-set-recognition out-of-distribution-detection pytorch uncertainty-calibration uncertainty-estimation uncertainty-neural-networks robust-deep-learning robust-machine-learning trustworthy-ai trustworthy-machine-learning anomaly-detection novelty-detection out-of-distribution
Language:Python 16
tim5go / awesome-one-class-classification
A curated list of awesome resources dedicated to One Class Classification.
machine-learning nlp novelty-detection one-class-classification one-class-svm out-of-domain-detection outlier-detection text-classification
16
stuffmatic / microdsp
DSP algorithms and utilities written in Rust. Performant, embedded friendly and no_std compatible.
rust audio dsp embedded adaptive-filtering novelty-detection pitch-detection no-std
Language:Rust 13
raun1 / ASC-NET
MICCAI 2021 | Adversarial based selective network for unsupervised anomaly segmentation
unsupervised-anomaly-detection novelty-detection
Language:Python 12
durgeshsamariya / awesome-outlier-detection-resources
Outlier detection related books and papers.
outlier-detection data-mining detecting-anomalies novelty-detection awesome awesome-list
11
edadaltocg / detectors
Python package to accelerate research on generalized out-of-distribution (OOD) detection.
anomaly-detection covariate-shift deep-learning machine-learning novelty-detection out-of-distribution-detection outlier-detection python3 pytorch osr ood-detection trustworthy-ai safety-ai
Language:Python 11
jgaud / streamndr
Novelty detection for data streams in Python
machine-learning novelty-detection stream data-stream incremental-learning python
Language:Python 11
LordAlucard90 / Variational-AutoEncoder-For-Novelty-Detection
A Variational AutoEncoder implemented with Keras and used to perform Novelty Detection with the EMNIST-Letters Dataset.
variational-autoencoder python3 keras neural-network novelty-detection anomaly-detection oneclasssvm
Language:Python 11
shaoyijia / CMG
Code for ECML-PKDD 2022 Paper --- CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection
anomaly-detection data-generation novelty-detection out-of-distribution-detection
Language:Python 11
VAlex22 / ND_VAE
Implementation of q-Space Novelty Detection with Variational Autoencoders
lasagne matlab neural-network novelty-detection theano variational-autoencoder
Language:Python 10
mesarcik / RFI-NLN
Code for paper entitled "Learning to detect RFI in radio astronomy without seeing it"
anomaly-detection novelty-detection radio-astronomy rfi unsupervised-learning weak-supervision
Language:Python 9
CyrilWendl / SIE-Master
Density Forests for Uncertainty, SIE Master Project, EPFL, Spring Semester 2018
decision-tree density-forest cnn density-trees random-forest uncertainty novelty-detection error-detection
Language:Jupyter Notebook 8
vbernardes / minas
Python implementation of the MINAS novelty detection algorithm for data streams.
novelty novelty-detection-algorithm minas data-stream scikit-multiflow novelty-detection
Language:Python 8
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.
novelty-detection privacy machine-learning python biometric-authentication data-science continuous-authentication
Language:Python 7
fandulu / SsVGMM
A semi-supervised variational Gaussian mixture model
semi-supervised-learning variational-inference clustering novelty-detection chinese-restaurant-process dirichlet-process-mixture-model plml
Language:MATLAB 7
sudarshanregmi / T2FNorm
Official code for CVPRW-2024 paper "T2FNorm: Train-time Feature Normalization for OOD Detection in Image Classification".
anomaly-detection novelty-detection ood-detection out-of-distribution-detection outlier-detection
Language:Python 6
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
anomaly-detection dataset novelty-detection out-of-distribution-detection outlier-detection
5
mesarcik / NLN
Code for paper entitled "Improving Novelty Detection using the Reconstructions of Nearest Neighbours"
anomaly-detection machine-learning deep-learning novelty-detection
Language:Python 5