24 results found Sort:

Lightweight, useful implementation of conformal prediction on real data.
Created 2021-12-25
151 commits to main branch, last one 3 months ago
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 e...
Created 2023-08-07
68 commits to main branch, last one 2 days ago
Collection of awesome test-time (domain/batch/instance) adaptation methods
Created 2021-12-14
165 commits to main branch, last one 4 days ago
18
177
gpl-3.0
3
GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]
Created 2022-06-05
222 commits to GOODv1 branch, last one 3 months ago
Frouros: an open-source Python library for drift detection in machine learning systems.
Created 2022-03-16
964 commits to main branch, last one about a month ago
A repository and benchmark for online test-time adaptation.
Created 2022-08-11
137 commits to main branch, last one about a month ago
Domain Adaptation for Time Series Under Feature and Label Shifts
Created 2023-02-03
32 commits to main branch, last one about a year ago
A curated list of papers and resources about the distribution shift in machine learning.
Created 2022-12-19
58 commits to main branch, last one 10 months ago
10
95
mit
3
[NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
Created 2022-10-06
30 commits to main branch, last one 10 months ago
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
Created 2021-11-15
309 commits to master branch, last one 9 months ago
This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles et al., 2022).
Created 2022-03-17
3 commits to master branch, last one 2 years ago
The official API of DoubleAdapt (KDD'23), an incremental learning framework for online stock trend forecasting, WITHOUT dependencies on the qlib package.
Created 2023-06-29
27 commits to main branch, last one 2 months ago
"Towards Semi-supervised Learning with Non-random Missing Labels" by Yue Duan (ICCV 2023)
Created 2022-03-27
74 commits to master branch, last one 2 months ago
The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
Created 2023-01-24
15 commits to main branch, last one 11 months ago
Library for the training and evaluation of object-centric models (ICML 2022)
Created 2022-05-27
12 commits to main branch, last one about a year ago
[ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
Created 2023-02-26
15 commits to main branch, last one about a year ago
[NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
Created 2021-11-12
6 commits to main branch, last one 2 years ago
A python package providing a benchmark with various specified distribution shift patterns.
Created 2023-07-11
33 commits to main branch, last one 7 months ago
"Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
Created 2021-10-24
24 commits to main branch, last one 2 years ago
4
44
bsd-3-clause
9
This repository has no description...
Created 2022-06-08
34 commits to main branch, last one 10 months ago
0
39
unknown
4
[ICLR 2023] Official Tensorflow implementation of "Distributionally Robust Post-hoc Classifiers under Prior Shifts"
Created 2023-02-21
6 commits to main branch, last one 4 months ago
5
34
apache-2.0
4
Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
Created 2023-02-03
26 commits to main branch, last one 11 months ago
7
32
cc-by-4.0
5
Reinforcement Learning Environments for Sustainable Energy Systems
Created 2022-04-18
95 commits to main branch, last one 28 days ago
Code for "How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation"
Created 2023-11-15
116 commits to master branch, last one 3 months ago