david-rundel / tabpfn_imlLinks
Interpretable ML for TabPFN
☆40Updated 3 months ago
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.☆21Updated 7 months ago
- Tabular In-Context Learning☆93Updated 8 months ago
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆215Updated 2 months ago
- Ensemble-based, size-agnostic wrapper for the TabPFN classifier☆33Updated last year
- Code for finetuning TabPFN on one downstream tabular dataset.☆77Updated 2 months ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆45Updated 2 years ago
- Effector - a Python package for global and regional effect methods☆117Updated 3 months ago
- Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…☆30Updated 2 years ago
- Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗☆201Updated this week
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆169Updated last year
- Repository for the explanation method Calibrated Explanations (CE)☆70Updated last week
- A package for conformal prediction with conditional guarantees.☆67Updated last month
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆49Updated 3 years ago
- All the material needed to use MC-CP and the Adaptive MC Dropout method☆24Updated 5 months ago
- ☆22Updated last year
- Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and dis…☆269Updated 3 months ago
- This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.☆20Updated last year
- Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"☆60Updated 3 weeks ago
- SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)☆17Updated 2 years ago
- The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.☆65Updated last year
- A Living Benchmark for Machine Learning on Tabular Data☆131Updated this week
- TabPFGen: Synthetic Tabular Data Generation with TabPFN☆25Updated 3 months ago
- (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆83Updated 5 months ago
- ☆27Updated 2 months ago
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆175Updated last year
- ☆20Updated last year
- ☆42Updated 3 years ago
- Classfication metrics and post-hoc calibration☆39Updated 4 months ago
- Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year
- A framework for calibration measurement of binary probabilistic models☆29Updated last year