Shun's repositories
FT_TransFormer
DeepLearning for Tabular Data with FT_Transformer & ResNet
A-Weakly-Supervised-Learning-based-Oversampling-Framework-for-Imbalanced-Classification
This is a program of a new weakly supervised learning based oversampling framework to solve the imbalanced classification proposed by Min Qian and Yanfu Li.
Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
awesome-imbalanced-learning
Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库
Awesome-of-Long-Tailed-Recognition
A curated list of long-tailed recognition resources.
BalancedMSE
[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427
colab_continual_learning_tutorial
Continual Learning tutorials and demo running on Google Colaboratory.
evidential-learning-pytorch
Evidential Deep Learning in PyTorch
imbalanced-ensemble
Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库
ImbalancedLearning
Code for the paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?" (NeurIPS 2022).
IRon
R Package for Imbalanced Regression
knowledge-distillation-pytorch
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
machine-learning-imbalanced-data
Code repository for the online course Machine Learning with Imbalanced Data
multi-domain-imbalance
[ECCV 2022] Multi-Domain Long-Tailed Recognition, Imbalanced Domain Generalization, and Beyond
Parametric-Contrastive-Learning
Parametric Contrastive Learning (ICCV2021)
ranksim-imbalanced-regression
[ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
ResLT
ResLT: Residual Learning for Long-tailed Recognition (TPAMI 2022)
rtdl
Research on Tabular Deep Learning (Python package & papers)
SADE-AgnosticLT
This repository is the official Pytorch implementation of Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition (NeurIPS 2022).
tab-transformer-pytorch
Implementation of TabTransformer, attention network for tabular data, in Pytorch
tabular-dl-num-embeddings
The official implementation of the paper "On Embeddings for Numerical Features in Tabular Deep Learning"
tabular-transfer-learning
A repo for transfer learning with deep tabular models
TailCalibX
Pytorch implementation of Feature Generation for Long-Tail Classification by Rahul Vigneswaran, Marc T Law, Vineeth N Balasubramaniam and Makarand Tapaswi
well-classified-examples-are-underestimated
Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"
WellTunedSimpleNets
[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
XBNet
Boosted neural network for tabular data