distribution-shift

There are 2 repositories under distribution-shift topic.

tim-learn / awesome-test-time-adaptation
Collection of awesome test-time (domain/batch/instance) adaptation methods
continual-test-time-adaptation distribution-shift domain-adaptation domain-generalization source-free-domain-adaptation test-time-adaptation test-time-augmentation test-time-training transfer-learning
1122
aangelopoulos / conformal-prediction
Lightweight, useful implementation of conformal prediction on real data.
computer-vision conformal conformal-prediction distribution-shift natural-language-processing time-series time-series-prediction uncertainty uncertainty-estimation uncertainty-quantification conformal-inference
Language:Jupyter Notebook 968
mariodoebler / test-time-adaptation
A repository and benchmark for online test-time adaptation.
continual-adaptation robustness source-free-domain-adaptation test-time test-time-adaptation gradual-adaptation distribution-shift
Language:Python 250
frouros
IFCA-Advanced-Computing / frouros
Frouros: an open-source Python library for drift detection in machine learning systems.
drift-detection concept-drift machine-learning python statistics data-drift mlops machine-learning-engineering machine-learning-operations dataset-drift dataset-shift mle change-detection distribution-shift covariate-shift
Language:Python 235
divelab / GOOD
GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]
deep-learning distribution-shift graph-neural-networks graph-ood invariant-learning out-of-distribution-generalization pytorch pytorch-geometric
Language:Python 202
mims-harvard / Raincoat
Domain Adaptation for Time Series Under Feature and Label Shifts
data-shift deep-learning distribution-shift domain-adaptation time-series time-series-classification
Language:Jupyter Notebook 124
weitianxin / awesome-distribution-shift
A curated list of papers and resources about the distribution shift in machine learning.
artificial-intelligence deep-learning distribution-shift domain-adaptation domain-generalization fairness generalization graph machine-learning neural-network robustness
122
LFhase / CIGA
[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
causal-inference causal-representation-learning distribution-shift drug-discovery graph-neural-networks graph-representation-learning invariant-learning out-of-distribution-generalization
Language:Python 117
SJTU-DMTai / DoubleAdapt
The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.
concept-drift distribution-shift incremental-learning kdd2023 meta-learning quantitative-finance stock-prediction
Language:Python 107
EdisonLeeeee / GreatX
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
adversarial-attacks graph-convolutional-networks graph-neural-networks pytorch graph-reliability-toolbox distribution-shift inherent-noise pytorch-geometric
Language:Python 87
google-deepmind / distribution_shift_framework
This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles et al., 2022).
distribution-shift machine-learning artificial-intelligence neural-networks jax deep-learning
Language:Python 84
qitianwu / GraphOOD-GNNSafe
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
anamoly-detection artificial-intelligence deep-learning distribution-shift geometric-deep-learning graph-neural-networks label-propagation large-graph node-classification out-of-distribution-detection outlier-detection pytorch pytorch-geometric trustworthy-ai out-of-distribution-generalization
Language:Python 83
NJUyued / PRG4SSL-MNAR
"Towards Semi-supervised Learning with Non-random Missing Labels" by Yue Duan (ICCV 2023)
computer-vision deep-learning distribution-shift iccv2023 image-classification machine-learning pytorch semi-supervised-learning
Language:Python 78
vita-epfl / ttt-plus-plus
[NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
test-time-adaptation self-supervised-learning robustness distribution-shift
Language:Python 71
addtt / object-centric-library
Library for the training and evaluation of object-centric models (ICML 2022)
distribution-shift generalization object-centric objects ood-generalization representation-learning unsupervised-learning structured-representations
Language:Python 70
ChandlerBang / GTrans
[ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
adversarial-attacks data-centric distribution-shift graph-neural-networks out-of-distribution robustness test-time-adaptation
Language:Python 62
namkoong-lab / whyshift
A python package providing a benchmark with various specified distribution shift patterns.
benchmark distribution-shift machine-learning
Language:Jupyter Notebook 58
chrisyeh96 / sustaingym
Reinforcement Learning Environments for Sustainable Energy Systems
distribution-shift energy-system reinforcement-learning
Language:HTML 56
bit-ml / AnoShift
anomaly-detection distribution-shift network network-traffic pytorch timeseries
Language:Python 54
GentleZhu / Shift-Robust-GNNs
"Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
distribution-shift graph-neural-networks graph-representation-learning network-embeddings
Language:Python 49
jameszhou-gl / gpt-4v-distribution-shift
Code for ICLR'24 workshop ME-FoMo-How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation
ai distribution-shift gpt-4v openai python clip llava generalization robustness
Language:Jupyter Notebook 37
mala-lab / ADShift
Official PyTorch implementation of the ICCV'23 paper “Anomaly Detection under Distribution Shift”
anomaly-detection distribution-shift out-of-distribution-generalization image-anomaly-detection
Language:Python 37
acmi-lab / RLSbench
Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
benchmarking distribution-shift domain-adaptation machine-learning
Language:Python 35
monk1337 / Awesome-Robust-Machine-Learning
A curated list of Robust Machine Learning papers/articles and recent advancements.
bias-detection concept-shift covariate-shift data-shift deep-learning distribution-shift fairness fairness-ml label-shift machine-learning ood robust-machine-learning awesome-list fairness-ai fairness-testing machine-learning-bias robust-learning federated-learning healthcare healthcare-federated-learning
33
weijiaheng / Drops
[ICLR 2023] Official Tensorflow implementation of "Distributionally Robust Post-hoc Classifiers under Prior Shifts"
class-imbalance distribution-shift distributional-robustness robustness group-distributional-robustness
Language:Python 33
vkhamesi / ocpdet
📦 A Python package for online changepoint detection, implementing state-of-the-art algorithms and a novel approach based on neural networks.
changepoint-detection deep-learning package change-detection change-point machine-learning python science time-series distribution-shift multivariate-time-series segmentation time-series-segmentation
Language:Python 30
mfederici / dsit
Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
deep-learning pytorch distribution-shift fairness-ml information-theory
Language:Jupyter Notebook 25
ryoungj / optdom
[ICLR'22] Self-supervised learning optimally robust representations for domain shift.
distribution-shift domain-generalization machine-learning python pytorch representation-learning self-supervised-learning
Language:Python 24
CGCL-codes / TransferAttackSurrogates
The official code of IEEE S&P 2024 paper "Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability". We study how to train surrogates model for boosting transfer attack.
adversarial-attacks adversarial-training black-box-attack data-augmentation distribution-shift gradient-regularization sharpness-aware-minimization transfer-attack
Language:Python 20
KingJamesSong / RankFeat
NeurIPS22 "RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection" and T-PAMI Extension
distribution-shift out-of-distribution-detection
Language:Python 20
monk1337 / Awesome-Distribution-Shift
A curated list of Distribution Shift papers/articles and recent advancements.
bias-detection data data-shift distribution-shift fairness fairness-ml machine-learning machine-learning-algorithms ood ood-detection robust-machine-learning concept-shift covariate-shift label-shift
19
yaodongyu / ProjNorm
Predicting Out-of-Distribution Error with the Projection Norm
distribution-shift ml-safety
Language:Python 19
martinwimpff / eeg-otta
distribution-shift test-time test-time-adaptation brain-computer-interface eeg motor-imagery
Language:Python 18
neerajwagh / evaluating-eeg-representations
Resources for the paper titled "Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts". Accepted at NeurIPS 2022.
augmentation data-shift diagnostic-tool distribution-shift domain-adaptation domain-driven-design eeg-classification eeg-data eeg-signals healthcare-ai in-the-wild latent-space neurips neurips-2022 out-of-distribution-detection representation-learning robustness uncertainty uncertainty-quantification
17
biquality-learn / biquality-learn
A Python Library for Biquality Learning
covariate-shift distribution-shift label-noise weakly-supervised-learning
Language:Python 15
pritamqu / OOD-VSSL
[NeurIPS 2023 (Spotlight)] Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts
byol dino distribution-shift mae moco-v3 out-of-distribution self-supervised-learning simclr simsiam transformer video-learning
Language:Python 13

distribution-shift

tim-learn / awesome-test-time-adaptation

aangelopoulos / conformal-prediction

mariodoebler / test-time-adaptation

IFCA-Advanced-Computing / frouros

divelab / GOOD

mims-harvard / Raincoat

weitianxin / awesome-distribution-shift

LFhase / CIGA

SJTU-DMTai / DoubleAdapt

EdisonLeeeee / GreatX

google-deepmind / distribution_shift_framework

qitianwu / GraphOOD-GNNSafe

NJUyued / PRG4SSL-MNAR

vita-epfl / ttt-plus-plus

addtt / object-centric-library

ChandlerBang / GTrans

namkoong-lab / whyshift

chrisyeh96 / sustaingym

bit-ml / AnoShift

GentleZhu / Shift-Robust-GNNs

jameszhou-gl / gpt-4v-distribution-shift

mala-lab / ADShift

acmi-lab / RLSbench

monk1337 / Awesome-Robust-Machine-Learning

weijiaheng / Drops

vkhamesi / ocpdet

mfederici / dsit

ryoungj / optdom

CGCL-codes / TransferAttackSurrogates

KingJamesSong / RankFeat

monk1337 / Awesome-Distribution-Shift

yaodongyu / ProjNorm

martinwimpff / eeg-otta

neerajwagh / evaluating-eeg-representations

biquality-learn / biquality-learn

pritamqu / OOD-VSSL