basf / mamba-tabular
Mambular 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.
β201Updated last week
Alternatives and similar repositories for mamba-tabular:
Users that are interested in mamba-tabular are comparing it to the libraries listed below
- Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! π€β91Updated this week
- ML models + benchmark for tabular data classification and regressionβ114Updated this week
- A versatile Python package engineered for seamless topic modeling, topic evaluation, and topic visualization. Ideal for text analysis, naβ¦β37Updated last month
- Shapley Interactions and Shapley Values for Machine Learningβ490Updated this week
- π Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecasterβ105Updated 2 weeks ago
- Tabular In-Context Learningβ52Updated 3 weeks ago
- Python implementation of binary and multi-class Venn-ABERS calibrationβ149Updated 6 months ago
- ML Assistant for Competitive Machine Learningβ111Updated last month
- Code for finetuning TabPFN on one downstream tabular dataset.β34Updated last week
- (ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensemblingβ237Updated 2 weeks ago
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)β183Updated last month
- Repository for the explanation method Calibrated Explanations (CE)β64Updated 3 weeks ago
- Interpretable ML for TabPFNβ24Updated 11 months ago
- β146Updated last year
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Dataβ31Updated last week
- Ensemble-based, size-agnostic wrapper for the TabPFN classifierβ31Updated 10 months ago
- Experiments on Tabular Data Modelsβ276Updated last year
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.β358Updated last week
- π Puncc is a python library for predictive uncertainty quantification using conformal prediction.β316Updated 2 months ago
- Compare and ensemble models without retrainingβ50Updated this week
- Fast implementation of Venn-ABERS probabilistic predictorsβ72Updated last year
- Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal predictionβ¦β110Updated last year
- Datasets for time series forecastingβ90Updated last month
- (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensemblesβ89Updated last week
- Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)β149Updated this week
- Tabular Deep Learning Library for PyTorchβ638Updated last week
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Modelsβ148Updated 7 months ago
- Conformal Anomaly Detectionβ45Updated 3 weeks ago
- A lightweight and fast auto-ml libraryβ73Updated last week
- Python package for conformal predictionβ486Updated 6 months ago