Popular GitHub Repositories for Shift Invariant

pip install antialiased-cnns to improve stability and accuracy

Lightweight, useful implementation of conformal prediction on real data.

Official code of the paper "ReDet: A Rotation-Equivariant Detector for Aerial Object Detection" (CVPR 2021)

??Several High-Performance Models for Unconstrained/Large-Scale/Low-Shot Face Recognition??

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

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

Pitch-shift audio clips quickly with PyTorch (CUDA supported)! Additional utilities for searching efficient transformations are included.

Official code of "Discovering Invariant Rationales for Graph Neural Networks" (ICLR 2022)

An implement of Disentangled Representation Learning GAN for Pose-Invariant Face Recognition

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

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

SHIFT Dataset DevKit - CVPR2022

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

:fire: [CVPR 2024] Color Shift Estimation-and-Correction for Image Enhancement

Code for experiments for "ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy"

This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"

Implementation of the DDPM + IPA (invariant point attention) for protein generation, as outlined in the paper "Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models"

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

[KDD'2023] "KGRec: Knowledge Graph Self-Supervised Rationalization for Recommendation"

(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper