Projects in Awesome Lists tagged with novelty-detection

https://github.com/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

Last synced: 12 May 2025

https://github.com/yzhao062/Pyod

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

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

Last synced: 04 Apr 2025

https://github.com/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.

data-augmentation data-curation dataset deep-learning image image-analysis image-classfication image-classification image-duplicate-detection image-processing image-similarity machine-learning novelty-detection object-detection outlier-detection python visual-search visualization visualization-tools

Last synced: 14 May 2025

https://github.com/jingkang50/openood

Benchmarking Generalized Out-of-Distribution Detection

anomaly-detection novelty-detection open-set-recognition out-of-distribution-detection outlier-detection robustness

Last synced: 16 May 2025

https://github.com/Jingkang50/OpenOOD

Benchmarking Generalized Out-of-Distribution Detection

anomaly-detection novelty-detection open-set-recognition out-of-distribution-detection outlier-detection robustness

Last synced: 28 Mar 2025

https://github.com/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

Last synced: 05 Apr 2025

https://github.com/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

Last synced: 08 May 2025

https://github.com/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

Last synced: 28 Mar 2025

https://github.com/aimagelab/novelty-detection

Latent space autoregression for novelty detection.

anomaly-detection computer-vision cvpr2019 deep-learning novelty-detection unsupervised-learning

Last synced: 13 Apr 2025

https://github.com/podgorskiy/gpnd

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

aae adversarial-autoencoders adversarial-learning anomaly-detection autoencoder deep-learning deep-neural-networks deep-novelty-detection gan generative-adversarial-network machine-learning mnist nips-2018 novelty-detection novelty-detector pdf probability pytorch

Last synced: 01 May 2025

https://github.com/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.

ai-safety anomaly-detection classification deep-learning machine-learning novelty-detection ood ood-detection open-set open-set-recognition osr out-of-distribution out-of-distribution-detection pytorch robust-machine-learning trustworthy-ai trustworthy-machine-learning uncertainty-estimation

Last synced: 05 Apr 2025

https://github.com/zjysteven/mixoe

Mixture Outlier Exposure for Out-of-Distribution Detection in Fine-grained Environments

fine-grained-classification fine-grained-recognition novelty-detection openset-recognition out-of-distribution-detection outlier-exposure

Last synced: 01 Apr 2025

https://github.com/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.

anomaly-detection classification deep-learning deep-neural-networks machine-learning novelty-detection ood-detection open-set open-set-recognition out-of-distribution out-of-distribution-detection pytorch robust-deep-learning robust-machine-learning trustworthy-ai trustworthy-machine-learning uncertainty-calibration uncertainty-estimation uncertainty-neural-networks