XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions
☆342Feb 14, 2024Updated 2 years ago
Alternatives and similar repositories for Imbalance-XGBoost
Users that are interested in Imbalance-XGBoost are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆254Nov 9, 2019Updated 6 years ago
- This code shows how to train a model in Amazon SageMaker using a custom loss function for a binary classification problem in which the co…☆13Feb 21, 2019Updated 7 years ago
- [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☆261Feb 5, 2024Updated 2 years ago
- Python-based implementations of algorithms for learning on imbalanced data.☆241Jan 29, 2022Updated 4 years ago
- High level utility functions for using Rapids on Kaggle Competitions☆28Apr 18, 2020Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- [NeurIPS'25]🛠️Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库☆424Mar 5, 2026Updated 2 months ago
- 🌳 Stacked Gradient Boosting Machines☆25May 6, 2024Updated 2 years ago
- Extension of the awesome XGBoost to linear models at the leaves☆83Jun 24, 2019Updated 6 years ago
- A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection fea…☆686Jan 3, 2024Updated 2 years ago
- A fast xgboost feature selection algorithm☆234Apr 1, 2021Updated 5 years ago
- XGBoost Feature Interactions Reshaped☆432Nov 10, 2017Updated 8 years ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,874Mar 24, 2026Updated last month
- This method is a new oversampling algorithm and can circumvent the deficiency of WK-SMOTE (and SMOTE as well as its variants) caused by r…☆16Oct 26, 2022Updated 3 years ago
- Features selector based on the self selected-algorithm, loss function and validation method☆679May 8, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Python implementations of the Boruta all-relevant feature selection method.☆1,625Nov 13, 2025Updated 6 months ago
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,103Apr 13, 2026Updated last month
- Using a Raspberry Pi micro-computer as a DVR to record free over the air HD channels.☆10Jan 31, 2026Updated 3 months ago
- Analytics Vidhya Hackathons and Others☆26Jun 9, 2020Updated 5 years ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆652Feb 19, 2024Updated 2 years ago
- [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☆110Jun 17, 2024Updated last year
- (Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)☆49May 9, 2025Updated last year
- PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf☆2,943Oct 23, 2024Updated last year
- Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.☆110Dec 16, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017☆12Mar 2, 2017Updated 9 years ago
- Multi-class classification with focal loss for imbalanced datasets☆82Oct 6, 2019Updated 6 years ago
- Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text…☆18Nov 4, 2017Updated 8 years ago
- Post-selection inference based on truncated Gaussians for the HSIC-Lasso feature selection procedure☆10Jun 17, 2021Updated 4 years ago
- Solution to Kaggle's Mercari Price Suggestion Competition☆22Feb 21, 2018Updated 8 years ago
- multi task learning for multi-classification using keras☆13Feb 10, 2020Updated 6 years ago
- A multi-label approach of the SMOTE algorithm☆12Aug 6, 2024Updated last year
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆383Jan 8, 2022Updated 4 years ago
- ☆13Apr 23, 2019Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- A full-replica MATLAB/Simulink dynamic model of the IEEE 39-bus power system, including dynamic models of conventional generation and dyn…☆11Jun 18, 2018Updated 7 years ago
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,238Mar 28, 2026Updated last month
- TalkingData AdTracking Fraud Detection Challenge☆104May 11, 2018Updated 8 years ago
- ☆11Jul 25, 2019Updated 6 years ago
- Improving XGBoost survival analysis with embeddings and debiased estimators☆341Oct 3, 2024Updated last year
- Implementation of Semi-Supervised and Semi-Weakly Supervised Teacher/Student Learning approaches☆14Jan 18, 2023Updated 3 years ago
- A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues☆10Aug 18, 2023Updated 2 years ago