aangelopoulos / ppi_pyLinks
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
☆251Updated 2 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…☆173Updated last year
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆165Updated last month
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆145Updated 3 weeks ago
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆415Updated 2 weeks ago
- Uncertainty quantification with PyTorch☆366Updated 3 months ago
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆340Updated last month
- A package for conformal prediction with conditional guarantees.☆61Updated 5 months ago
- Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models☆159Updated 11 months ago
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆218Updated last year
- A Living Benchmark for Machine Learning on Tabular Data☆105Updated this week
- Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion …☆48Updated last week
- Repository for CARTE: Context-Aware Representation of Table Entries☆136Updated 3 months ago
- An experimental language for causal reasoning☆219Updated 2 weeks ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 2 years ago
- Experimental library integrating LLM capabilities to support causal analyses☆228Updated last week
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 7 months ago
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆93Updated last year
- Our maintained PFN repository. Come here to train SOTA PFNs.☆95Updated last week
- Python package for conformal prediction☆513Updated last month
- Public dataset repository for the Causal Chamber Project☆42Updated 3 weeks ago
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆163Updated last year
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Effector - a Python package for global and regional effect methods☆113Updated last week
- Interpret text data using LLMs (scikit-learn compatible).☆169Updated last week
- Shapley Interactions and Shapley Values for Machine Learning☆588Updated this week
- [Experimental] Global causal discovery algorithms☆106Updated last week
- A Library for Uncertainty Quantification.☆919Updated 3 months ago
- Lightweight, useful implementation of conformal prediction on real data.☆923Updated last month