dholzmueller / pytabkitLinks
ML models + benchmark for tabular data classification and regression
☆268Updated last month
Alternatives and similar repositories for pytabkit
Users that are interested in pytabkit are comparing it to the libraries listed below
Sorting:
- Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and dis…☆260Updated last month
- (ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling☆744Updated 2 weeks ago
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆170Updated 3 weeks ago
- A Living Benchmark for Machine Learning on Tabular Data☆121Updated this week
- An extension of LightGBM to probabilistic modelling☆330Updated last month
- All Relevant Feature Selection☆140Updated 5 months ago
- A power-full Shapley feature selection method.☆210Updated last year
- Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)☆262Updated this week
- Shapley Interactions and Shapley Values for Machine Learning☆611Updated this week
- Quantile Regression Forests compatible with scikit-learn.☆241Updated this week
- Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗☆182Updated this week
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆346Updated 3 months ago
- Tabular In-Context Learning☆89Updated 6 months ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆189Updated 2 months ago
- Flexible time series feature extraction & processing☆428Updated last year
- Repository for CARTE: Context-Aware Representation of Table Entries☆142Updated last month
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆379Updated 4 months ago
- Python package for conformal prediction☆517Updated 2 months ago
- ☆485Updated last year
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆112Updated 4 months ago
- A lightweight and fast auto-ml library☆78Updated 3 weeks ago
- Multiple Imputation with LightGBM in Python☆390Updated last year
- Repository for the explanation method Calibrated Explanations (CE)☆70Updated last week
- Standalone implementation of RealMLP-TD-S and its data preprocessing for tabular data classification and regression☆24Updated last year
- Forecasting with Gradient Boosted Time Series Decomposition☆196Updated 2 years ago
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆165Updated last year
- Calculates various features from time series data. Python implementation of the R package tsfeatures.☆424Updated last year
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆632Updated last year
- WarpGBM: High-Speed Gradient Boosting☆90Updated 2 months ago
- An extension of XGBoost to probabilistic modelling☆643Updated last month