Stars
A code library for reading and preprocessing public battery dataset
Code for anonymous submission to NeurIPS 2025 (UDA with adaptive f-divergence)
Code for "SoftSort: A Continuous Relaxation for the argsort Operator", ICML 2020.
Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estimation"
This is the official code repository EF5F for CycleMix. CycleMix uses pretrained CycleGAN models to create novel styles for input samples.
Offiicial code for the "Multi-Scale and Multi-Layer Contrastive Learning for Domain Generalization" paper.
Source code of the NeurIPS 2024 paper "On f-Divergence Principled Domain Adaptation: An Improved Framework"
[ICML 2022]Source code for "A Closer Look at Smoothness in Domain Adversarial Training",
[ICLR2022] CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation
Combining inherent knowledge of vision-language models with unsupervised domain adaptation through strong-weak guidance
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
常用降维算法的复现和比较，包括LDA, PCA, KPCA, MDS, Isomap, LLE。
A loss function originated for regression tasks to learn a representation manifold that is isometric to the label space.
A toolkit for machine learning from time series
Open-source Python toolkit focused on deep learning with ordinal methodologies
Code for cumulative link models for ordinal regression that support differentiable learning ala PyTorch
[NeurIPS 2022] OrdinalCLIP: Learning Rank Prompts for Language-Guided Ordinal Regression
[CVPR 2022 Oral] Rethinking Minimal Sufficient Representation in Contrastive Learning
Multi-domain image generation and translation with identifiability guarantees
Official Implementation of ICLR 2021 paper, Deep Repulsive Clustering of Ordered Data Based on Order-Identity Decomposition.
[CVPR 2024] Blind Image Quality Assessment Based On Geometric Order Learning
[NeurIPS 2022] Geometric order learning for rank estimation
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning | Official repository
NeurIPS 2023: Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation
🎋 NeurIPS 2024: Official repository for the paper 'RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier'