dholzmueller / pytabkitLinks
ML models + benchmark for tabular data classification and regression
☆317Updated last week
Alternatives and similar repositories for pytabkit
Users that are interested in pytabkit are comparing it to the libraries listed below
Sorting:
- (ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling☆925Updated 2 months ago
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆275Updated last month
- A Living Benchmark for Machine Learning on Tabular Data☆171Updated this week
- DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and dist…☆284Updated last week
- Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗☆237Updated this week
- An extension of LightGBM to probabilistic modelling☆357Updated last month
- Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)☆333Updated last week
- Tabular In-Context Learning☆103Updated 10 months ago
- Quantile Regression Forests compatible with scikit-learn.☆251Updated last week
- All Relevant Feature Selection☆142Updated 9 months ago
- Shapley Interactions and Shapley Values for Machine Learning☆666Updated this week
- ☆501Updated last year
- Python package for conformal prediction☆550Updated 3 months ago
- Repository for CARTE: Context-Aware Representation of Table Entries☆161Updated 5 months ago
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆366Updated last month
- A power-full Shapley feature selection method.☆212Updated 3 months ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆191Updated 3 months ago
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆396Updated 8 months ago
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆176Updated last year
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆116Updated 3 months ago
- An extension of XGBoost to probabilistic modelling☆681Updated last month
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆438Updated 2 months ago
- Multiple Imputation with LightGBM in Python☆402Updated 2 months ago
- A Library for Conformal Hyperparameter Tuning☆104Updated last month
- mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.☆618Updated last year
- Probabilistic prediction with XGBoost.☆120Updated 9 months ago
- Repository for the explanation method Calibrated Explanations (CE)☆71Updated last week
- The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"☆315Updated last month
- (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles☆99Updated 3 weeks ago
- Standalone implementation of RealMLP-TD-S and its data preprocessing for tabular data classification and regression☆33Updated last year