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☆257Updated last year
- Implementation of the paper "Shapley Explanation Networks"☆88Updated 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 3 years ago
- ☆42Updated 2 years ago
- Pytorch implementation of risk estimators for unbiased and non-negative positive-unlabeled learning☆91Updated last year
- ☆51Updated 4 years ago
- Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.☆109Updated 4 years ago
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆44Updated 2 years ago
- The code of the AAAI-19 paper "AFS: An Attention-based mechanism for Supervised Feature Selection".☆46Updated 6 years ago
- A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of …☆138Updated last year
- Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)☆186Updated 3 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆147Updated 3 years ago
- Ensemble learning related books, papers, videos, and toolboxes☆300Updated 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
- This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019☆16Updated 6 years ago
- ☆32Updated 4 years ago
- Supplementary material for ICDM 20 paper "COPOD: Copula-Based Outlier Detection"☆59Updated 5 years ago
- A Python Package for Deep Imbalanced Learning☆57Updated 3 months ago
- Resources and environment for unsupervised outlier model selection (UOMS)☆24Updated 3 years ago
- Active semi-supervised clustering algorithms for scikit-learn☆102Updated 5 years ago
- ☆172Updated last year
- Library of transfer learners and domain-adaptive classifiers.☆93Updated 6 years ago
- ☆98Updated 6 years ago
- GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon …☆21Updated 4 years ago
- The code of NeurIPS 2021 paper "Scalable Rule-Based Representation Learning for Interpretable Classification" and TPAMI paper "Learning I…☆114Updated last year
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆137Updated 7 years ago
- ☆54Updated 3 years ago
- PyTorch Implementation of the Multi-gate Mixture-of-Experts with Exclusivity (MMoEEx)☆32Updated 4 years ago
- NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"☆17Updated 2 years ago
- DANets (a family of neural networks) for tabular data classification/ regression.☆46Updated 3 years ago