dholzmueller / pytabkitLinks
ML models + benchmark for tabular data classification and regression
☆195Updated 2 weeks ago
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☆553Updated 2 weeks ago
- Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗☆150Updated this week
- All Relevant Feature Selection☆138Updated 3 months ago
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆125Updated this week
- A Living Benchmark for Machine Learning on Tabular Data☆94Updated this week
- Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and dis…☆239Updated last week
- An extension of LightGBM to probabilistic modelling☆319Updated last year
- A power-full Shapley feature selection method.☆210Updated last year
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆336Updated last month
- Python implementation of binary and multi-class Venn-ABERS calibration☆165Updated 10 months ago
- Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)☆226Updated this week
- Quantile Regression Forests compatible with scikit-learn.☆233Updated 2 weeks ago
- Python package for conformal prediction☆510Updated 2 weeks ago
- Shapley Interactions and Shapley Values for Machine Learning☆577Updated this week
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆111Updated 2 months ago
- Multiple Imputation with LightGBM in Python☆384Updated 11 months ago
- Flexible time series feature extraction & processing☆422Updated 10 months ago
- Repository for CARTE: Context-Aware Representation of Table Entries☆133Updated 3 months ago
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆162Updated last year
- ☆483Updated 10 months ago
- Tabular In-Context Learning☆78Updated 4 months ago
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆371Updated 2 months ago
- A lightweight and fast auto-ml library☆77Updated 3 months ago
- Multi-Agent System Powered by LLMs for End-to-end Multimodal ML Automation☆139Updated this week
- Probabilistic prediction with XGBoost.☆110Updated 3 months ago
- Forecasting with Gradient Boosted Time Series Decomposition☆194Updated last year
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆402Updated this week
- An extension of XGBoost to probabilistic modelling☆627Updated 2 months ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆618Updated last year
- mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.☆599Updated 7 months ago