distribution-shift

There are 2 repositories under distribution-shift topic.

aangelopoulos / conformal-prediction
Lightweight, useful implementation of conformal prediction on real data.
computer-vision conformal conformal-inference conformal-prediction distribution-shift natural-language-processing time-series time-series-prediction uncertainty uncertainty-estimation uncertainty-quantification
Language:Jupyter Notebook 753
huytransformer / Awesome-Out-Of-Distribution-Detection
Out-of-distribution detection, robustness, and generalization resources. The repository contains a professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc
awesome distribution-shift ood ood-detection ood-generalization out-of-distribution out-of-distribution-detection out-of-distribution-generalization robustness open-world awesome-list
693
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
691
frouros
IFCA-Advanced-Computing / frouros
Frouros: an open-source Python library for drift detection in machine learning systems.
change-detection concept-drift covariate-shift data-drift dataset-drift dataset-shift distribution-shift drift-detection machine-learning machine-learning-engineering machine-learning-operations mle mlops python statistics
Language:Python 184
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 181
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 178
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 105
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
104
LFhase / CIGA
[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
distribution-shift graph-neural-networks out-of-distribution-generalization causal-representation-learning invariant-learning causal-inference drug-discovery graph-representation-learning
Language:Python 97
EdisonLeeeee / GreatX
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
adversarial-attacks distribution-shift graph-convolutional-networks graph-neural-networks graph-reliability-toolbox inherent-noise pytorch pytorch-geometric
Language:Python 83
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).
artificial-intelligence deep-learning distribution-shift jax machine-learning neural-networks
Language:Python 82
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 82
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 76
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 68
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 66
vita-epfl / ttt-plus-plus
[NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
test-time-adaptation self-supervised-learning robustness distribution-shift
Language:Python 58
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 53
namkoong-lab / whyshift
A python package providing a benchmark with various specified distribution shift patterns.
benchmark distribution-shift machine-learning
Language:Jupyter Notebook 53
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 47
bit-ml / AnoShift
anomaly-detection distribution-shift network network-traffic pytorch timeseries
Language:Python 45
weijiaheng / Drops
[ICLR 2023] Official Tensorflow implementation of "Distributionally Robust Post-hoc Classifiers under Prior Shifts"
class-imbalance distribution-shift distributional-robustness group-distributional-robustness robustness
Language:Python 39
chrisyeh96 / sustaingym
Reinforcement Learning Environments for Sustainable Energy Systems
distribution-shift energy-system reinforcement-learning
Language:HTML 38
acmi-lab / RLSbench
Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
distribution-shift domain-adaptation benchmarking machine-learning
Language:Python 35
jameszhou-gl / gpt-4v-distribution-shift
Code for "How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation"
ai clip distribution-shift generalization gpt-4v llava openai python robustness
Language:Jupyter Notebook 33
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 25
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 24
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
23
ryoungj / optdom
[ICLR'22] Self-supervised learning optimally robust representations for domain shift.
python self-supervised-learning domain-generalization distribution-shift representation-learning pytorch machine-learning
Language:Python 23
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 22
KingJamesSong / RankFeat
NeurIPS22 "RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection"
distribution-shift out-of-distribution-detection
Language:Python 19
yaodongyu / ProjNorm
Predicting Out-of-Distribution Error with the Projection Norm
distribution-shift ml-safety
Language:Python 17
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 eeg-classification eeg-data eeg-signals in-the-wild latent-space neurips robustness uncertainty uncertainty-quantification domain-adaptation domain-driven-design neurips-2022 out-of-distribution-detection diagnostic-tool distribution-shift healthcare-ai representation-learning
16
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 13
pritamqu / OOD-VSSL
[NeurIPS 2023 (Spotlight)] Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts
distribution-shift out-of-distribution self-supervised-learning video-learning byol dino mae moco-v3 simclr simsiam transformer
Language:Python 13
biquality-learn / biquality-learn
A Python Library for Biquality Learning
covariate-shift distribution-shift label-noise weakly-supervised-learning
Language:Python 11
rgklab / detectron
Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"
distribution-shift machine-learning two-sample-test pytroch xgboost
Language:Python 11

distribution-shift

aangelopoulos / conformal-prediction

huytransformer / Awesome-Out-Of-Distribution-Detection

tim-learn / awesome-test-time-adaptation

IFCA-Advanced-Computing / frouros

divelab / GOOD

mariodoebler / test-time-adaptation

mims-harvard / Raincoat

weitianxin / awesome-distribution-shift

LFhase / CIGA

EdisonLeeeee / GreatX

google-deepmind / distribution_shift_framework

SJTU-DMTai / DoubleAdapt

NJUyued / PRG4SSL-MNAR

qitianwu / GraphOOD-GNNSafe

addtt / object-centric-library

vita-epfl / ttt-plus-plus

ChandlerBang / GTrans

namkoong-lab / whyshift

GentleZhu / Shift-Robust-GNNs

bit-ml / AnoShift

weijiaheng / Drops

chrisyeh96 / sustaingym

acmi-lab / RLSbench

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

mala-lab / ADShift

mfederici / dsit

monk1337 / Awesome-Robust-Machine-Learning

ryoungj / optdom

vkhamesi / ocpdet

KingJamesSong / RankFeat

yaodongyu / ProjNorm

neerajwagh / evaluating-eeg-representations

CGCL-codes / TransferAttackSurrogates

pritamqu / OOD-VSSL

biquality-learn / biquality-learn

rgklab / detectron