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11 search results found

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

Fastdup ⭐ 1,313

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.

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Entropic Out Of Distribution Detection ⭐ 47

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.

Distinction Maximization Loss ⭐ 34

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.

A scikit-learn compatible library for anomaly detection

Streamndr ⭐ 10

Novelty detection for data streams in Python

Robust Deep Learning ⭐ 9

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.

Open-set Recognition with Adversarial Autoencoders

Awesome One Class Classification ⭐ 6

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

Code for paper entitled "Improving Novelty Detection using the Reconstructions of Nearest Neighbours"

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