david-rundel / tabpfn_imlLinks
Interpretable ML for TabPFN
☆30Updated last year
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.☆19Updated 2 months ago
- Tabular In-Context Learning☆67Updated 3 months ago
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆77Updated 2 weeks ago
- Ensemble-based, size-agnostic wrapper for the TabPFN classifier☆31Updated last year
- ☆15Updated 2 years ago
- Code for finetuning TabPFN on one downstream tabular dataset.☆59Updated 2 weeks ago
- (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆73Updated this week
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆48Updated 2 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆85Updated 2 years ago
- TabDPT: Scaling Tabular Foundation Models☆27Updated last month
- This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.☆19Updated last year
- All the material needed to use MC-CP and the Adaptive MC Dropout method☆24Updated 2 weeks ago
- In-context Bayesian Optimization☆16Updated last month
- Repository for the explanation method Calibrated Explanations (CE)☆65Updated 2 weeks ago
- ☆27Updated 2 weeks ago
- Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…☆29Updated 2 years ago
- Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner☆16Updated 2 weeks ago
- Effector - a Python package for global and regional effect methods☆111Updated this week
- SurvSHAP(t): Time-dependent explanations of machine learning survival models☆87Updated last year
- SurvivalGAN: Generating Time-to-Event Data for Survival Analysis☆27Updated 2 years ago
- SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)☆17Updated 2 years ago
- A framework for calibration measurement of binary probabilistic models☆28Updated last year
- ☆22Updated last year
- ☆18Updated last year
- A Novel Hybrid Deep Learning Model for Heterogeneous Tabular Data☆20Updated 5 months ago
- An interpretable kNN based on aggregating the predictions of multiple 2d spaces.☆13Updated 7 months ago
- Fast implementation of Venn-ABERS probabilistic predictors☆74Updated last year
- Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗☆125Updated last week
- An extension of Py-Boost to probabilistic modelling☆22Updated 2 years ago