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
☆109Updated 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☆259Updated last year
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆69Updated 3 years ago
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 4 years ago
- Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.☆108Updated 4 years ago
- ☆42Updated 2 years ago
- ☆51Updated 4 years ago
- Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning☆90Updated last year
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆44Updated 2 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆145Updated 3 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 last year
- This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019☆16Updated 6 years ago
- Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance☆76Updated 6 years ago
- ☆170Updated last year
- GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon …☆21Updated 4 years ago
- A Python Package for Deep Imbalanced Learning☆57Updated last month
- P. Domingos proposed a principled method for making an arbitrary classifier cost-sensitive by wrapping a cost-minimizing procedure around…☆39Updated 6 years ago
- Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".☆30Updated 4 years ago
- ☆40Updated 2 years ago
- Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Lear…☆73Updated 5 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆149Updated 4 years ago
- DANets (a family of neural networks) for tabular data classification/ regression.☆45Updated 3 years ago
- A modular toolbox for meta-learning research with a focus on speed and reproducibility.☆125Updated 2 years ago
- Resources and environment for unsupervised outlier model selection (UOMS)☆24Updated 2 years ago
- Our implementations of the Multi-class Imbalance learning algorithms (for the KBS paper)☆46Updated 6 years ago
- PyTorch Implementation of the Multi-gate Mixture-of-Experts with Exclusivity (MMoEEx)☆32Updated 4 years ago
- Robust Subspace Recovery Layer for Unsupervised Anomaly Detection☆37Updated 4 years ago
- The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".☆46Updated 6 years ago
- Python package for graph-based clustering and semi-supervised learning☆95Updated 5 months ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆74Updated 3 years ago
- The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning I…☆112Updated last year