OpenTabular / DeepTabLinks
DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambular, TabM, FT-Transformer, TabulaRNN, TabTransformer, and tabular ResNets.
☆280Updated 2 weeks ago
Alternatives and similar repositories for DeepTab
Users that are interested in DeepTab are comparing it to the libraries listed below
Sorting:
- ML models + benchmark for tabular data classification and regression☆309Updated this week
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆254Updated 3 weeks ago
- Tabular In-Context Learning☆101Updated 9 months ago
- Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗☆227Updated this week
- Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)☆318Updated this week
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆360Updated 2 weeks ago
- Shapley Interactions and Shapley Values for Machine Learning☆657Updated this week
- A power-full Shapley feature selection method.☆211Updated 2 months ago
- Interpretable ML for TabPFN☆44Updated 5 months ago
- TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning☆224Updated this week
- A Living Benchmark for Machine Learning on Tabular Data☆165Updated this week
- Multiple Imputation with LightGBM in Python☆401Updated last month
- Repository for the explanation method Calibrated Explanations (CE)☆70Updated this week
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆115Updated 2 months ago
- Python package for conformal prediction☆548Updated 2 months ago
- A framework for prototyping and benchmarking imputation methods☆195Updated 2 years ago
- TimeSHAP explains Recurrent Neural Network predictions.☆193Updated 2 years ago
- Code for finetuning TabPFN on one downstream tabular dataset.☆79Updated 3 months ago
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆176Updated last year
- mRMR (minimum-Redundancy-Maximum-Relevance) for automatic feature selection at scale.☆617Updated last year
- (ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling☆896Updated last month
- Effector - a Python package for global and regional effect methods☆117Updated last week
- ☆163Updated last month
- ⚡ Easy API access to the tabular foundation model TabPFN ⚡☆212Updated this week
- All Relevant Feature Selection☆142Updated 8 months ago
- Quantile Regression Forests compatible with scikit-learn.☆251Updated this week
- Conformal Anomaly Detection☆51Updated this week
- A Library for Conformal Hyperparameter Tuning☆104Updated 3 weeks ago
- Tabular Deep Learning Library for PyTorch☆752Updated this week
- A framework for calibration measurement of binary probabilistic models☆29Updated last year