aangelopoulos / ppi_pyLinks
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
☆272Updated 4 months ago
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☆79Updated last year
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆178Updated last year
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆441Updated 2 months ago
- Uncertainty quantification with PyTorch☆380Updated last week
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆45Updated 2 years ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆178Updated 2 months ago
- A package for conformal prediction with conditional guarantees.☆67Updated 3 months ago
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆103Updated last year
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆366Updated this week
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆174Updated last year
- Public dataset repository for the Causal Chamber Project☆55Updated 2 months ago
- An experimental language for causal reasoning☆247Updated last month
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆227Updated 2 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆84Updated last year
- Python package for conformal prediction☆550Updated 3 months ago
- Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion …☆53Updated 4 months ago
- Lightweight, useful implementation of conformal prediction on real data.☆1,003Updated 2 months ago
- A Library for Uncertainty Quantification.☆924Updated 8 months ago
- A Living Benchmark for Machine Learning on Tabular Data☆171Updated last week
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆159Updated 3 years ago
- Conformalized Quantile Regression☆301Updated 3 years ago
- Repository for CARTE: Context-Aware Representation of Table Entries☆161Updated 5 months ago
- Our maintained PFN repository. Come here to train SOTA PFNs.☆126Updated 3 months ago
- Interpret text data with LLMs (sklearn compatible).☆175Updated 3 months ago
- Scikit-learn compatible decision trees beyond those offered in scikit-learn☆86Updated last week
- For calculating global feature importance using Shapley values.☆283Updated last week
- ☆194Updated 2 years ago
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆290Updated last month
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆86Updated 4 years ago