david-rundel / tabpfn_imlLinks
Interpretable ML for TabPFN
☆38Updated last month
Alternatives and similar repositories for tabpfn_iml
Users that are interested in tabpfn_iml are comparing it to the libraries listed below
Sorting:
- TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.☆20Updated 5 months ago
- Tabular In-Context Learning☆87Updated 5 months ago
- Ensemble-based, size-agnostic wrapper for the TabPFN classifier☆33Updated last year
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆163Updated last week
- Effector - a Python package for global and regional effect methods☆115Updated last month
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆49Updated 3 years ago
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆165Updated last year
- Repository for the explanation method Calibrated Explanations (CE)☆70Updated last week
- ☆19Updated last year
- Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"☆55Updated this week
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…☆29Updated 2 years ago
- A package for conformal prediction with conditional guarantees.☆62Updated 6 months ago
- Code for finetuning TabPFN on one downstream tabular dataset.☆76Updated 3 months ago
- ☆22Updated last year
- A framework for calibration measurement of binary probabilistic models☆28Updated last year
- Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and dis…☆258Updated 3 weeks ago
- A Living Benchmark for Machine Learning on Tabular Data☆116Updated this week
- The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.☆65Updated last year
- Classfication metrics and post-hoc calibration☆32Updated 2 months ago
- ☆42Updated 2 years ago
- ☆16Updated 2 years ago
- Resources for Machine Learning Explainability☆84Updated 11 months ago
- All the material needed to use MC-CP and the Adaptive MC Dropout method☆24Updated 3 months ago
- For calculating global feature importance using Shapley values.☆274Updated this week
- A Natural Language Interface to Explainable Boosting Machines☆68Updated last year
- Conformal Anomaly Detection☆48Updated this week
- SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)☆17Updated 2 years ago
- Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗☆175Updated this week
- ☆48Updated 7 months ago