An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
☆254Nov 9, 2019Updated 6 years ago
Alternatives and similar repositories for LightGBM-with-Focal-Loss
Users that are interested in LightGBM-with-Focal-Loss are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Multiclass LigthGBM classifier with costumized focal loss☆19Jul 3, 2022Updated 3 years ago
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆342Feb 14, 2024Updated 2 years ago
- Solution to the Debiasing Track of KDD CUP 2020☆161Mar 24, 2023Updated 3 years ago
- Custom Loss Functions and Evaluation Metrics for XGBoost and LightGBM☆39May 5, 2026Updated 2 weeks ago
- A peptide string building for expanding chemical dataset combinations.☆12Dec 8, 2024Updated last year
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- 📈 😸 Binary focal loss implementations for catboost framework☆19Jun 18, 2020Updated 5 years ago
- Code to analyze SAR datasets for Nonadditivity☆19Aug 8, 2021Updated 4 years ago
- mtgbmcode☆176Jun 28, 2022Updated 3 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
- Natural Gradient Boosting for Probabilistic Prediction☆1,874Mar 24, 2026Updated last month
- A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch☆1,415Apr 30, 2026Updated 3 weeks ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆652Feb 19, 2024Updated 2 years ago
- Tree-Invent: A novel molecular generative model constrained with topological tree☆14Jul 26, 2023Updated 2 years ago
- 神经网络生成WordEmbedding☆12Dec 15, 2017Updated 8 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- My toolbox for data analysis. :)☆175Jan 13, 2025Updated last year
- Random Forest or XGBoost? It is Time to Explore LCE☆70Aug 15, 2023Updated 2 years ago
- ML-Ensemble – high performance ensemble learning☆866Nov 13, 2023Updated 2 years ago
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆117Oct 26, 2022Updated 3 years ago
- A toolkit for predicting the binding mode of small molecules interacting with proteins based on interfacial rigidification, as assessed b…☆10Nov 22, 2016Updated 9 years ago
- Code for the Kaggle Ensembling Guide Article on MLWave☆1,612Nov 16, 2017Updated 8 years ago
- Jupyter Notebook used for writing the article "Black-Box models are actually more explainable than a Logistic Regression" published in To…☆73Feb 23, 2023Updated 3 years ago
- 🌳 Stacked Gradient Boosting Machines☆25May 6, 2024Updated 2 years ago
- Kaggle TalkingData AdTracking Fraud Detection Challenge 48th solution☆11May 18, 2018Updated 8 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.
- ☆54Oct 23, 2019Updated 6 years ago
- ☆84Feb 9, 2019Updated 7 years ago
- Repository for downloading, processing, and analyzing FDA Adverse Event Reporting System data.☆16Apr 9, 2026Updated last month
- ☆102Jul 2, 2019Updated 6 years ago
- 京东JDATA2019-用户对品类下店铺的购买预测☆17Jun 10, 2019Updated 6 years ago
- Leave One Feature Out Importance☆867Feb 14, 2025Updated last year
- Surrogate Assisted Feature Extraction☆38Aug 19, 2021Updated 4 years ago
- ☆13Nov 26, 2024Updated last year
- ☆24Jun 23, 2021Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Python implementations of the Boruta all-relevant feature selection method.☆1,625Nov 13, 2025Updated 6 months ago
- Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data☆526Jan 21, 2021Updated 5 years ago
- Bayesian Optimization and Grid Search for xgboost/lightgbm☆83Feb 13, 2025Updated last year
- PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf☆2,943Oct 23, 2024Updated last year
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆68May 28, 2024Updated last year
- Easy-to-use,Modular and Extendible package of deep-learning based CTR models .☆8,032Apr 26, 2026Updated 3 weeks ago
- A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can…☆2,423Apr 18, 2026Updated last month