dobriban / Topics-In-Modern-Statistical-LearningLinks
Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, calibration, etc
☆176Updated last year
Alternatives and similar repositories for Topics-In-Modern-Statistical-Learning
Users that are interested in Topics-In-Modern-Statistical-Learning are comparing it to the libraries listed below
Sorting:
- A package for conformal prediction with conditional guarantees.☆62Updated 6 months ago
- ☆189Updated 2 years ago
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆94Updated last year
- Conformalized Quantile Regression☆284Updated 3 years ago
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆68Updated 9 months ago
- Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true cla…☆244Updated 2 years ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆255Updated 3 months ago
- Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…☆67Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆90Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆419Updated this week
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated last year
- A statistical toolkit for scientific discovery using machine learning☆80Updated last year
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆77Updated 4 years ago
- relplot: Utilities for measuring calibration and plotting reliability diagrams☆168Updated 2 months ago
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆143Updated last month
- Public dataset repository for the Causal Chamber Project☆42Updated last month
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆165Updated last year
- Conditional calibration of conformal p-values for outlier detection.☆36Updated 2 years ago
- Short tutorials on the use of machine learning methods for causal inference☆48Updated 2 years ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆65Updated 6 months ago
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆222Updated last year
- A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…☆56Updated last year
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 8 months ago
- Active Bayesian Causal Inference (Neurips'22)☆58Updated last year
- CSuite: A Suite of Benchmark Datasets for Causality☆74Updated 2 years ago
- Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…☆29Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆180Updated 2 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆86Updated 2 years ago
- Neural Additive Models (Google Research)☆71Updated 3 years ago