Alternatives and similar repositories for imbalanced-ensemble

Users that are interested in imbalanced-ensemble are comparing it to the libraries listed below

• ZhiningLiu1998 / self-paced-ensemble
  [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
  ☆258Updated last year
• yandex-research / rtdl-revisiting-models
  (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
  ☆290Updated 10 months ago
• YGZWQZD / LAMDA-SSL
  30 Semi-Supervised Learning Algorithms
  ☆212Updated last year
• ZhiningLiu1998 / 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
  ☆1,479Updated 7 months ago
• jhwjhw0123 / Imbalance-XGBoost
  XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
  ☆329Updated last year
• analyticalmindsltd / smote_variants
  A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection fea…
  ☆673Updated last year
• RyanWangZf / transtab
  NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables
  ☆201Updated 6 months ago
• Albertsr / Class-Imbalance
  Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.
  ☆108Updated 4 years ago
• gykovacs / common_datasets
  machine learning databases
  ☆17Updated last year
• jrzaurin / LightGBM-with-Focal-Loss
  An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
  ☆256Updated 5 years ago
• yzhao062 / MetaOD
  Automating Outlier Detection via Meta-Learning (Code, API, and Contribution Instructions)
  ☆186Updated 3 years ago
• YyzHarry / imbalanced-regression
  [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
  ☆889Updated 3 years ago
• WhatAShot / DANet
  DANets (a family of neural networks) for tabular data classification/ regression.
  ☆46Updated 3 years ago
• helenzhao093 / MLMethods
  Implementations of various feature selection methods
  ☆24Updated 4 years ago
• ZhiningLiu1998 / mesa
  [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
  ☆110Updated last year
• wwweiwei / awesome-self-supervised-learning-for-tabular-data
  A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
  ☆199Updated 7 months ago
• lucidrains / tab-transformer-pytorch
  Implementation of TabTransformer, attention network for tabular data, in Pytorch
  ☆989Updated 7 months ago
• Treers / MetaCost
  P. Domingos proposed a principled method for making an arbitrary classifier cost-sensitive by wrapping a cost-minimizing procedure around…
  ☆39Updated 6 years ago
• yzhao062 / XGBOD
  Supplementary material for IJCNN paper "XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning"
  ☆89Updated 6 years ago
• AstraZeneca / SubTab
  The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"
  ☆147Updated 3 years ago
• adapt-python / adapt
  Awesome Domain Adaptation Python Toolbox
  ☆351Updated 11 months ago
• justinengelmann / GANbasedOversampling
  ☆65Updated 2 years ago
• Minqi824 / ADBench
  Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
  ☆980Updated 2 years ago
• yandex-research / rtdl
  Research on Tabular Deep Learning: Papers & Packages
  ☆1,052Updated 10 months ago
• Alxe1 / FeatureSelectionsAndExtractions
  feature selections and extractions
  ☆88Updated last year
• jia-zhuang / xgboost-lightgbm-hyperparameter-tuning
  Bayesian Optimization and Grid Search for xgboost/lightgbm
  ☆77Updated 7 months ago
• DataCanvasIO / HyperTS
  A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
  ☆282Updated 5 months ago
• Daniela-Shereen / GBRT-for-TSF
  ☆204Updated 2 years ago
• kathrinse / TabSurvey
  Experiments on Tabular Data Models
  ☆279Updated 2 years ago
• jsyoon0823 / VIME
  Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020
  ☆149Updated 4 years ago