Projects in Awesome Lists tagged with novelty-detection

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: 01 Aug 2024

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: 02 Oct 2024

https://github.com/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-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: 01 Oct 2024

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: 31 Jul 2024

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: 03 Aug 2024

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: 31 Jul 2024

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: 01 Aug 2024

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

Last synced: 01 Aug 2024