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The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Created
2018-05-11
1,629 commits to master branch, last one 7 days ago
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
Created
2017-10-03
1,731 commits to master branch, last one 2 months ago
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
hmc
mcmc
sgld
pytorch
mc-dropout
regression
uncertainty
deep-learning
classification
bayes-by-backprop
langevin-dynamics
bayesian-inference
approximate-inference
reproducible-research
variational-inference
bayesian-neural-networks
uncertainty-neural-networks
local-reparametrization-trick
out-of-distribution-detection
kronecker-factored-approximation
Created
2019-03-11
86 commits to master branch, last one 7 months ago
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
Created
2019-01-16
154 commits to master branch, last one 3 months ago
Benchmarking Generalized Out-of-Distribution Detection
Created
2021-11-29
688 commits to main branch, last one 3 months ago
A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization
Created
2023-08-07
63 commits to main branch, last one about a month ago
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
Created
2018-05-22
42 commits to master branch, last one 2 years ago
The Official Repository for "Generalized OOD Detection: A Survey"
Created
2021-08-18
36 commits to main branch, last one about a year ago
ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and video data.
Created
2020-10-15
45 commits to main branch, last one 8 months ago
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances (NeurIPS 2020)
Created
2020-07-16
11 commits to master branch, last one 3 years ago
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
Created
2019-06-10
15 commits to master branch, last one 3 years ago
The Combined Anomalous Object Segmentation (CAOS) Benchmark
Created
2019-11-25
35 commits to master branch, last one about a year ago
[TPAMI 2021] Adversarial Reciprocal Points Learning for Open Set Recognition
Created
2020-11-08
11 commits to master branch, last one 11 months ago
Papers for Open Knowledge Discovery
Created
2020-09-23
126 commits to master branch, last one 5 months ago
Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
Created
2019-01-28
10 commits to master branch, last one 2 years ago
Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).
Created
2021-03-03
34 commits to main branch, last one 3 months ago
Feature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)
Created
2020-08-05
15 commits to master branch, last one 3 years ago
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 tim...
Created
2019-08-16
50 commits to master branch, last one about a year ago
Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems to reduce costs, extend their lifespan, and facilitate sustainab...
Created
2022-11-09
39 commits to main branch, last one 3 months ago
Deep Open Intent Classification with Adaptive Decision Boundary (AAAI 2021)
Created
2020-12-18
55 commits to main branch, last one 2 years ago
[ICCV 2021] Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain
Created
2021-08-19
17 commits to main branch, last one about a year ago
Outlier Exposure with Confidence Control for Out-of-Distribution Detection
Created
2019-12-13
250 commits to master branch, last one 3 years ago
The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
Created
2021-08-20
7 commits to main branch, last one 2 years ago
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
Created
2023-01-24
15 commits to main branch, last one 10 months ago
PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022
Created
2022-10-09
208 commits to main branch, last one 2 months ago
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".
Created
2022-05-07
56 commits to main branch, last one about a year ago
MASKER: Masked Keyword Regularization for Reliable Text Classification (AAAI 2021)
Created
2020-12-02
5 commits to master branch, last one 8 months ago
Paper of out of distribution detection and generalization
Created
2023-01-10
71 commits to main branch, last one 9 months ago
PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023
Created
2023-02-28
84 commits to master branch, last one 9 months ago
Official code for RbA: Segmenting Unknown Regions Rejected by All (ICCV 2023)
Created
2023-06-09
15 commits to main branch, last one 9 months ago