The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

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

Benchmarking Generalized Out-of-Distribution Detection

Deep Anomaly Detection with Outlier Exposure (ICLR 2019)

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

Self-Supervised Learning for OOD Detection (NeurIPS 2019)

[TPAMI 2022] Adversarial Reciprocal Points Learning for Open Set Recognition

The Combined Anomalous Object Segmentation (CAOS) Benchmark

Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).

Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)

The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"

[SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.

PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022

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.

[ICCV 2021] Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain

Deep Open Intent Classification with Adaptive Decision Boundary (AAAI 2021)

The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.

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".

OOD Generalization and Detection (ACL 2020)

PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023