#Out-of-distribution-detection
Showing 10 of 10 repositories tagged #out-of-distribution-detection, ranked by stars
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
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"
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.
Deep Open Intent Classification with Adaptive Decision Boundary (AAAI 2021)
The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"