distribution-shift topic

This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles et al., 2022).

google-deepmind

Lightweight, useful implementation of conformal prediction on real data.

aangelopoulos

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

LFhase

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

addtt

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

GentleZhu

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

vita-epfl

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

divelab

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

EdisonLeeeee

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

mfederici

The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.

SJTU-Quant