The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
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Updated
May 9, 2024 - Python
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
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)
The Combined Anomalous Object Segmentation (CAOS) Benchmark
[TPAMI 2021] Adversarial Reciprocal Points Learning for Open Set Recognition
Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).
Feature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)
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)
[ICCV 2021] Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain
The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
OOD Generalization and Detection (ACL 2020)
PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022
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".
MASKER: Masked Keyword Regularization for Reliable Text Classification (AAAI 2021)
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