aangelopoulos / prediction-powered-inferenceLinks
A statistical toolkit for scientific discovery using machine learning
☆79Updated last year
Alternatives and similar repositories for prediction-powered-inference
Users that are interested in prediction-powered-inference are comparing it to the libraries listed below
Sorting:
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆272Updated 4 months ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆174Updated last year
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆75Updated 2 years ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆45Updated 2 years ago
- A package for conformal prediction with conditional guarantees.☆67Updated 3 months ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆178Updated last year
- Public dataset repository for the Causal Chamber Project☆55Updated 2 months ago
- A library for uncertainty quantification based on PyTorch☆121Updated 4 years 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
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 3 years ago
- ☆22Updated last year
- Code for multistep feedback covariate shift conformal prediction experiments in "Conformal Validity Guarantees Exist for Any Data Distrib…☆27Updated last year
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆70Updated 11 months ago
- A Playground for Tabular Foundation Models☆46Updated 2 weeks ago
- Fast implementation of Venn-ABERS probabilistic predictors☆75Updated last year
- ☆48Updated last year
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆88Updated last year
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆73Updated last year
- Active Bayesian Causal Inference (Neurips'22)☆59Updated last year
- Training and evaluating NBM and SPAM for interpretable machine learning.☆78Updated 2 years ago
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆88Updated last year
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆84Updated last year
- Uncertainty quantification with PyTorch☆380Updated last week
- Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Works…☆21Updated 3 years ago
- Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems☆33Updated 2 years ago
- ☆52Updated last year
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆247Updated last year
- Tabular In-Context Learning☆103Updated 10 months ago