statmlben / dnn-inferenceLinks
Significance tests of feature relevance for a black-box learner
☆19Updated last year
Alternatives and similar repositories for dnn-inference
Users that are interested in dnn-inference are comparing it to the libraries listed below
Sorting:
- Confidence sequences and uniform boundaries☆66Updated 9 months ago
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆173Updated last year
- [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"☆44Updated 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
- Tools for conformal inference in regression☆248Updated 11 months ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆143Updated last year
- Non-parametrics for Causal Inference☆49Updated 3 years ago
- For calculating global feature importance using Shapley values.☆272Updated this week
- Python package for (conditional) independence testing and statistical functions related to causality.☆28Updated 2 months ago
- This repository contains a list of awesome literature in statistics and machine learning.☆13Updated last year
- ☆92Updated 8 months ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆253Updated 2 months ago
- Short tutorials on the use of machine learning methods for causal inference☆48Updated 2 years ago
- Resources related to causality☆265Updated last year
- Conformalized Quantile Regression☆283Updated 3 years ago
- Conditional calibration of conformal p-values for outlier detection.☆36Updated 2 years ago
- ☆190Updated 2 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated 11 months ago
- Example causal datasets with consistent formatting and ground truth☆87Updated 3 months ago
- Code for "Counterfactual Fairness" (NIPS2017)☆54Updated 7 years ago
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 5 years ago
- A benchmark for distribution shift in tabular data☆55Updated last year
- SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data☆19Updated 3 years ago
- Distributional Random Forests (Cevid et al., 2020)☆44Updated 2 years ago
- Beta calibration☆30Updated last year
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆333Updated 9 months ago
- Statistical inference for fairness auditing☆13Updated 2 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 7 months ago
- Course materials for Advanced Topics in Statistical Learning, Spring 2023☆47Updated 3 weeks ago
- Generalized additive model with pairwise interactions☆66Updated last year