novelty-detection

There are 72 repositories under novelty-detection topic.

  • yzhao062/pyod

    A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

    Language:Python8.6k1453361.4k

  • visual-layer/fastdup

    fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.

    Language:Python1.6k2424777
  • OpenOOD

    Jingkang50/OpenOOD

    Benchmarking Generalized Out-of-Distribution Detection

    Language:Python8759110113

  • huytransformer/Awesome-Out-Of-Distribution-Detection

    Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc

    82536368

  • fjchange/awesome-video-anomaly-detection

    Papers for Video Anomaly Detection, released codes collection, Performance Comparision.

    5973111102

  • Jingkang50/OODSurvey

    The Official Repository for "Generalized OOD Detection: A Survey"

    Language:Jupyter Notebook44714339

  • 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.

    3767259

  • alinlab/CSI

    CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)

    Language:Python27575463

  • kkirchheim/pytorch-ood

    👽 Out-of-Distribution Detection with PyTorch

    Language:Python25443224

  • aimagelab/novelty-detection

    Latent space autoregression for novelty detection.

    Language:Python196121660

  • samet-akcay/skip-ganomaly

    Source code for Skip-GANomaly paper

    Language:Python19192164

  • podgorskiy/GPND

    Generative Probabilistic Novelty Detection with Adversarial Autoencoders

    Language:Python129111031

  • 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.

    Language:Python744410

  • nazim1021/OOD-detection-using-OECC

    Outlier Exposure with Confidence Control for Out-of-Distribution Detection

    Language:Jupyter Notebook69518

  • 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".

    Language:Python60327

  • 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.

    Language:Python45345

  • Ralmohsen/OSRAAE

    Open-set Recognition with Adversarial Autoencoders

    Language:Python372212

  • Y-oHr-N/kenchi

    A scikit-learn compatible library for anomaly detection

    Language:Python3656010

  • zjysteven/MixOE

    [WACV'23] Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments

    Language:Python25134

  • tim5go/awesome-one-class-classification

    A curated list of awesome resources dedicated to One Class Classification.

    17202

  • 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.

    Language:Python16103

  • stuffmatic/microdsp

    DSP algorithms and utilities written in Rust. Performant, embedded friendly and no_std compatible.

    Language:Rust14110

  • durgeshsamariya/awesome-outlier-detection-resources

    Outlier detection related books and papers.

    12304

  • raun1/ASC-NET

    MICCAI 2021 | Adversarial based selective network for unsupervised anomaly segmentation

    Language:Python12113

  • edadaltocg/detectors

    Python package to accelerate research on generalized out-of-distribution (OOD) detection.

    Language:Python11210

  • jgaud/streamndr

    Novelty detection for data streams in Python

    Language:Python11101

  • LordAlucard90/Variational-AutoEncoder-For-Novelty-Detection

    A Variational AutoEncoder implemented with Keras and used to perform Novelty Detection with the EMNIST-Letters Dataset.

    Language:Python11202

  • shaoyijia/CMG

    Code for ECML-PKDD 2022 Paper --- CMG: A Class-Mixed Generation Approach to Out-of-Distribution Detection

    Language:Python11201

  • VAlex22/ND_VAE

    Implementation of q-Space Novelty Detection with Variational Autoencoders

    Language:Python10302

  • mesarcik/RFI-NLN

    Code for paper entitled "Learning to detect RFI in radio astronomy without seeing it"

    Language:Python9126

  • CyrilWendl/SIE-Master

    Density Forests for Uncertainty, SIE Master Project, EPFL, Spring Semester 2018

    Language:Jupyter Notebook8200

  • vbernardes/minas

    Python implementation of the MINAS novelty detection algorithm for data streams.

    Language:Python8200

  • 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.

    Language:Python7406

  • fandulu/SsVGMM

    A semi-supervised variational Gaussian mixture model

    Language:MATLAB7203

  • sudarshanregmi/T2FNorm

    Official code for CVPRW-2024 paper "T2FNorm: Train-time Feature Normalization for OOD Detection in Image Classification".

    Language:Python6301

  • UoA-CARES/NaSA_TD3

    Official PyTorch Implementation of Our Paper Image-Based Deep Reinforcement Learning with Intrinsically Motivated Stimuli: On the Execution of Complex Robotic Tasks

    Language:Python5401