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distribution-shift

Here are 63 public repositories matching this topic...

aangelopoulos / conformal-prediction

Lightweight, useful implementation of conformal prediction on real data.

natural-language-processing computer-vision time-series uncertainty uncertainty-quantification uncertainty-estimation conformal time-series-prediction conformal-prediction distribution-shift conformal-inference

Updated Mar 24, 2024
Jupyter Notebook

tim-learn / awesome-test-time-adaptation

Collection of awesome test-time (domain/batch/instance) adaptation methods

transfer-learning domain-adaptation test-time-augmentation domain-generalization distribution-shift test-time-adaptation source-free-domain-adaptation test-time-training continual-test-time-adaptation

Updated Nov 25, 2024

frouros

IFCA-Advanced-Computing / frouros

Frouros: an open-source Python library for drift detection in machine learning systems.

python machine-learning statistics concept-drift machine-learning-engineering mle change-detection covariate-shift mlops drift-detection machine-learning-operations data-drift distribution-shift dataset-drift dataset-shift

Updated Nov 19, 2024
Python

mariodoebler / test-time-adaptation

A repository and benchmark for online test-time adaptation.

robustness test-time distribution-shift test-time-adaptation source-free-domain-adaptation continual-adaptation gradual-adaptation

Updated Oct 31, 2024
Python

divelab / GOOD

GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]

deep-learning pytorch graph-neural-networks pytorch-geometric distribution-shift out-of-distribution-generalization invariant-learning graph-ood

Updated Nov 9, 2024
Python

mims-harvard / Raincoat

Domain Adaptation for Time Series Under Feature and Label Shifts

deep-learning time-series domain-adaptation time-series-classification data-shift distribution-shift

Updated Jun 21, 2023
Jupyter Notebook

weitianxin / awesome-distribution-shift

A curated list of papers and resources about the distribution shift in machine learning.

machine-learning deep-learning neural-network graph artificial-intelligence fairness robustness domain-adaptation generalization domain-generalization distribution-shift

Updated Aug 5, 2023

LFhase / CIGA

[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs

drug-discovery causal-inference graph-neural-networks graph-representation-learning distribution-shift out-of-distribution-generalization invariant-learning causal-representation-learning

Updated Aug 28, 2023
Python

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.

quantitative-finance concept-drift incremental-learning stock-prediction meta-learning distribution-shift kdd2023

Updated Apr 13, 2024
Python

EdisonLeeeee / GreatX

A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).

pytorch graph-convolutional-networks adversarial-attacks graph-neural-networks pytorch-geometric distribution-shift graph-reliability-toolbox inherent-noise

Updated Oct 15, 2024
Python

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).

machine-learning deep-learning artificial-intelligence neural-networks jax distribution-shift

Updated Oct 25, 2024
Python

NJUyued / PRG4SSL-MNAR

"Towards Semi-supervised Learning with Non-random Missing Labels" by Yue Duan (ICCV 2023)

machine-learning computer-vision deep-learning pytorch semi-supervised-learning image-classification distribution-shift iccv2023

Updated Nov 26, 2024
Python

qitianwu / GraphOOD-GNNSafe

The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"

deep-learning pytorch artificial-intelligence outlier-detection label-propagation geometric-deep-learning node-classification graph-neural-networks anamoly-detection pytorch-geometric out-of-distribution-detection large-graph trustworthy-ai distribution-shift out-of-distribution-generalization

Updated Jul 27, 2023
Python

addtt / object-centric-library

Library for the training and evaluation of object-centric models (ICML 2022)

objects representation-learning unsupervised-learning generalization object-centric ood-generalization distribution-shift structured-representations

Updated Apr 30, 2023
Python

vita-epfl / ttt-plus-plus

[NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?

robustness self-supervised-learning distribution-shift test-time-adaptation

Updated Feb 14, 2022
Python

namkoong-lab / whyshift

A python package providing a benchmark with various specified distribution shift patterns.

benchmark machine-learning distribution-shift

Updated Nov 27, 2023
Jupyter Notebook

ChandlerBang / GTrans

[ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"

robustness adversarial-attacks data-centric graph-neural-networks out-of-distribution distribution-shift test-time-adaptation

Updated Jun 23, 2023
Python

GentleZhu / Shift-Robust-GNNs

"Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')

graph-neural-networks graph-representation-learning network-embeddings distribution-shift

Updated Jun 3, 2022
Python

bit-ml / AnoShift

timeseries network pytorch network-traffic anomaly-detection distribution-shift

Updated Jul 10, 2024
Python

chrisyeh96 / sustaingym

Reinforcement Learning Environments for Sustainable Energy Systems

reinforcement-learning energy-system distribution-shift

Updated May 31, 2024
HTML

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