penfever / TuneTablesLinks
TuneTables is a tabular classifier that implements prompt tuning for frozen prior-fitted networks.
☆19Updated 4 months ago
Alternatives and similar repositories for TuneTables
Users that are interested in TuneTables are comparing it to the libraries listed below
Sorting:
- Tabular In-Context Learning☆81Updated 4 months ago
- Interpretable ML for TabPFN☆35Updated 3 weeks ago
- Inference code for "TabDPT: Scaling Tabular Foundation Models on Real Data"☆52Updated 2 weeks ago
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆163Updated last year
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆150Updated 3 weeks ago
- ☆16Updated 2 years ago
- Ensemble-based, size-agnostic wrapper for the TabPFN classifier☆33Updated last year
- (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆77Updated 2 months ago
- SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)☆17Updated 2 years ago
- Our maintained PFN repository. Come here to train SOTA PFNs.☆95Updated last week
- ☆22Updated last year
- (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles☆92Updated last month
- A Living Benchmark for Machine Learning on Tabular Data☆105Updated this week
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆86Updated 2 years ago
- The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.☆64Updated last year
- Drift-Resilient TabPFN is a method using In-Context Learning via a Prior-Data Fitted Network, to address temporal distribution shifts in …☆18Updated 2 months ago
- A package for conformal prediction with conditional guarantees.☆61Updated 5 months ago
- Official code for ICML 2024 paper "An Unsupervised Approach for Periodic Source Detection in Time Series"☆12Updated 5 months ago
- An extension of Py-Boost to probabilistic modelling☆23Updated 2 years ago
- Code for "Improving Expert Predictions with Conformal Prediction" , ICML 2023☆12Updated 11 months ago
- ☆61Updated 4 years ago
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆159Updated 11 months ago
- Multi-class probabilistic classification using inductive and cross Venn–Abers predictors☆48Updated 3 years ago
- Official PyTorch implementation of OTiS: An open model for general time series analysis.☆16Updated 3 weeks ago
- Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗☆163Updated last week
- Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distrib…☆27Updated last year
- Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.☆75Updated 8 months ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆67Updated 2 years ago
- [ICLR2024] Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How☆33Updated 8 months ago
- Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…☆29Updated 2 years ago