ZhiningLiu1998 / mesaLinks
[NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题
☆111Updated last year
Alternatives and similar repositories for mesa
Users that are interested in mesa are comparing it to the libraries listed below
Sorting:
- [ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用,高效,鲁棒的类别不平衡学习框架☆262Updated last year
- ☆41Updated 2 years ago
- Implementation of the paper "Shapley Explanation Networks"☆89Updated 4 years ago
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆69Updated 4 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆150Updated 3 years ago
- Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning☆92Updated last year
- ☆51Updated 4 years ago
- Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.☆110Updated 5 years ago
- MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records (KDD 2019)☆49Updated 5 years ago
- Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance☆77Updated 6 years ago
- Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)☆186Updated 3 years ago
- Resources and environment for unsupervised outlier model selection (UOMS)☆25Updated 3 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆154Updated 5 years ago
- Ensemble learning related books, papers, videos, and toolboxes☆304Updated 6 years ago
- P. Domingos proposed a principled method for making an arbitrary classifier cost-sensitive by wrapping a cost-minimizing procedure around…☆39Updated 6 years ago
- ☆40Updated 2 years ago
- Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)☆46Updated 6 years ago
- GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon …☆21Updated 5 years ago
- PyTorch Implementation of the Multi-gate Mixture-of-Experts with Exclusivity (MMoEEx)☆32Updated 4 years ago
- ☆91Updated 4 years ago
- A Python Package for Deep Imbalanced Learning☆56Updated 5 months ago
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆137Updated 7 years ago
- DATE: Dual Attentive Tree-aware Embedding for Customs Frauds Detection☆68Updated 4 years ago
- ☆173Updated last year
- NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables☆203Updated 10 months ago
- The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning I…☆120Updated last year
- Active semi-supervised clustering algorithms for scikit-learn☆103Updated 5 years ago
- A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …☆137Updated 2 years ago
- ☆32Updated 4 years ago
- A modular toolbox for meta-learning research with a focus on speed and reproducibility.☆125Updated 2 years ago