BeanHam / 2019-interpretable-machine-learning
☆10Updated 2 years ago
Alternatives and similar repositories for 2019-interpretable-machine-learning:
Users that are interested in 2019-interpretable-machine-learning are comparing it to the libraries listed below
- TIme series DiscoverY BENCHmark (tidybench)☆37Updated 11 months ago
- A set of kernel-based (Un)conditional independence tests including SDCIT (Lee and Honavar, UAI 2017)☆16Updated 4 years ago
- ☆37Updated 6 years ago
- Reimplementation of NOTEARS in Tensorflow☆34Updated last year
- A curated list of awesome work on causal inference, particularly in machine learning.☆98Updated 3 years ago
- Software and pre-processed data for "Using Embeddings to Correct for Unobserved Confounding in Networks"☆55Updated last year
- Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)☆26Updated last year
- Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…☆71Updated 3 years ago
- ☆13Updated 4 years ago
- Tensorflow 2 implementation of Causal-BERT☆70Updated last year
- Code to reproduce our paper on probabilistic algorithmic recourse: https://arxiv.org/abs/2006.06831☆36Updated 2 years ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆59Updated 5 months ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆27Updated 3 years ago
- Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.☆30Updated 5 years ago
- Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)☆52Updated 4 years ago
- A Spatio-temporal point process simulator.☆45Updated last year
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆56Updated 8 months ago
- Example causal datasets with consistent formatting and ground truth☆76Updated last year
- Enhancing Discrete Choice Models with Learning Representation : The Learning MultiNomial Logit☆38Updated 5 years ago
- Notes for Judea Pearl et al., *Causal Inference in Statistics, a Primer*☆64Updated 5 years ago
- Training quantile models☆42Updated 2 months ago
- Causal Discovery with Equal Variance Assumption☆9Updated 2 years ago
- Project on Causal Machine learning CS 7290☆16Updated 5 years ago
- Short tutorials on the use of machine learning methods for causal inference☆49Updated 2 years ago
- ☆26Updated 2 years ago
- Code for the paper "Estimating Transfer Entropy via Copula Entropy"☆40Updated last year
- Non-parametrics for Causal Inference☆43Updated 2 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 3 years ago
- Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.☆75Updated 3 years ago
- Code and data for decision making under strategic behavior, NeurIPS 2020 & Management Science 2024.☆28Updated 11 months ago