Projects in Awesome Lists tagged with distribution-shift

https://github.com/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

Last synced: 04 Apr 2025

https://github.com/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

Last synced: 12 Apr 2025

https://github.com/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

Last synced: 04 Apr 2025

https://github.com/IFCA-Advanced-Computing/frouros

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

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

Last synced: 11 May 2025

https://github.com/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

Last synced: 05 Apr 2025

https://github.com/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

Last synced: 17 Jun 2025

https://github.com/namkoong-lab/whyshift

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

benchmark distribution-shift machine-learning

Last synced: 17 Jan 2026

https://github.com/namkoong-lab/whyshift?tab=readme-ov-file

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

benchmark distribution-shift machine-learning

Last synced: 28 Mar 2025

https://github.com/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

Last synced: 08 Apr 2025

https://github.com/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

Last synced: 08 Nov 2025

https://github.com/chrisyeh96/sustaingym

Reinforcement Learning Environments for Sustainable Energy Systems

distribution-shift energy-system reinforcement-learning

Last synced: 06 Jan 2026

https://github.com/mfederici/dsit

Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"

deep-learning distribution-shift fairness-ml information-theory pytorch

Last synced: 08 May 2025

https://github.com/rgklab/detectron

Official repository for the ICLR 2023 paper "A Learning Based Hypothesis Test for Harmful Covariate Shift"

distribution-shift machine-learning pytroch two-sample-test xgboost

Last synced: 08 Apr 2026

https://github.com/im-ethz/pub-gdu4dg

Gated Domain Units (GDU) aim to make your deep learning models robust against distribution shifts when applied in the real-world.

deep-learning distribution-shift domain-adaptation domain-generalization machine-learning robustness

Last synced: 16 Jan 2026

https://github.com/stanfordasl/data-lifecycle-management

Code accompanying the AI4Space 2022 paper "Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications" by Somrita Banerjee, Apoorva Sharma, Edward Schmerling, Max Spolaor, Michael Nemerouf, and Marco Pavone.

aerospace benchmark data-lifecycle-management distribution-shift learning-based out-of-distribution-detection satellite-pose-estimation

Last synced: 12 May 2025

https://github.com/kevinsbello/iscan

A Python 3 package for identifying distribution shifts (a.k.a feature-shifts) between datasets. Official implementation of the paper: "iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models".

bayesian-networks causal-mechanisms causal-models difference-dag difference-network distribution-shift intervention-target-estimation neurips-2023 root-cause-analysis score-matching