aangelopoulos / ppi_pyLinks
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
☆246Updated last month
Alternatives and similar repositories for ppi_py
Users that are interested in ppi_py are comparing it to the libraries listed below
Sorting:
- A statistical toolkit for scientific discovery using machine learning☆78Updated last year
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆402Updated this week
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆125Updated this week
- A Living Benchmark for Machine Learning on Tabular Data☆94Updated this week
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆173Updated last year
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆159Updated 11 months ago
- A package for conformal prediction with conditional guarantees.☆60Updated 4 months ago
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆217Updated last year
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆163Updated last week
- Uncertainty quantification with PyTorch☆362Updated 2 months ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 2 years ago
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆336Updated last month
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆162Updated last year
- Repository for CARTE: Context-Aware Representation of Table Entries☆133Updated 3 months ago
- Python package for conformal prediction☆510Updated 2 weeks ago
- Conformalized Quantile Regression☆279Updated 3 years ago
- Public dataset repository for the Causal Chamber Project☆42Updated 2 months ago
- Shapley Interactions and Shapley Values for Machine Learning☆577Updated this week
- An experimental language for causal reasoning☆214Updated last month
- Tabular In-Context Learning☆78Updated 4 months ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆81Updated 6 months ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Lightweight, useful implementation of conformal prediction on real data.☆909Updated 3 weeks ago
- Experimental library integrating LLM capabilities to support causal analyses☆222Updated last week
- Our maintained PFN repository. Come here to train SOTA PFNs.☆93Updated last month
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆93Updated last year
- A Library for Uncertainty Quantification.☆917Updated 2 months ago
- Interpret text data using LLMs (scikit-learn compatible).☆167Updated this week
- A Python library for amortized Bayesian workflows using generative neural networks.☆577Updated this week