manujosephv / pytorch_tabularLinks
A standard framework for modelling Deep Learning Models for tabular data
☆1,556Updated this week
Alternatives and similar repositories for pytorch_tabular
Users that are interested in pytorch_tabular are comparing it to the libraries listed below
Sorting:
- Research on Tabular Deep Learning: Papers & Packages☆1,026Updated 8 months ago
- Implementation of TabTransformer, attention network for tabular data, in Pytorch☆958Updated 5 months ago
- PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf☆2,826Updated 9 months ago
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆441Updated 3 years ago
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆376Updated 3 months ago
- ☆484Updated 11 months ago
- A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch☆1,363Updated 2 weeks ago
- (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data☆273Updated 9 months ago
- Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data☆493Updated 4 years ago
- OmniXAI: A Library for eXplainable AI☆942Updated last year
- Experiments on Tabular Data Models☆278Updated 2 years ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆578Updated last year
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,488Updated last month
- Tabular Deep Learning Library for PyTorch☆691Updated this week
- Leave One Feature Out Importance☆836Updated 5 months ago
- XGBoost + Optuna☆717Updated 10 months ago
- (ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling☆685Updated 3 weeks ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,765Updated 3 weeks ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆625Updated last year
- Fast SHAP value computation for interpreting tree-based models☆541Updated 2 years ago
- Examples for https://github.com/optuna/optuna☆781Updated last week
- mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.☆602Updated 8 months ago
- A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.☆1,449Updated last week
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆661Updated 5 months ago
- The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"☆300Updated 9 months ago
- Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)☆344Updated 2 years ago
- Multiple Imputation with LightGBM in Python☆385Updated last year
- Algorithms for outlier, adversarial and drift detection☆2,415Updated 2 months ago
- ML models + benchmark for tabular data classification and regression☆238Updated 2 weeks ago
- Generate Diverse Counterfactual Explanations for any machine learning model.☆1,434Updated 3 weeks ago