Causal inference is a critical task in various fields such as healthcare,economics, marketing and education. Recently, there have beensignificant advances through the application of machine learningtechniques, especially deep neural networks. Unfortunately, to-datemany of the proposed methods are evaluated on different (data,software/hardware, h…
☆21Oct 29, 2021Updated 4 years ago
Alternatives and similar repositories for CauseBox
Users that are interested in CauseBox are comparing it to the libraries listed below
Sorting:
- Code for Estimating Multi-cause Treatment Effects via Single-cause Perturbation (NeurIPS 2021)☆14Jan 5, 2022Updated 4 years ago
- Reproducing Shalit et al.'s Individual Treatment Effect model. This is a deep neural net that can be applied to various problems in causa…☆19May 22, 2022Updated 3 years ago
- Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.☆155Jun 22, 2024Updated last year
- ☆32Oct 14, 2025Updated 4 months ago
- Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…☆62Mar 3, 2025Updated last year
- Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica…☆30Jan 8, 2021Updated 5 years ago
- ☆30Aug 4, 2022Updated 3 years ago
- ☆37Jul 30, 2023Updated 2 years ago
- A ComfyUI extension providing nodes for generating 3D models from images and rendering/visualizing 3D assets within your workflow.☆66Updated this week
- Faster RCNN using TensorFlow☆10Jul 31, 2022Updated 3 years ago
- Some notes and solutions to "Machine Learning" authored by Zhi-Hua Zhou☆11Jul 20, 2021Updated 4 years ago
- An awesome collection of causality-inspired graph neural networks.☆102Nov 30, 2024Updated last year
- Sentiment Lexicon Construction☆10Sep 17, 2019Updated 6 years ago
- ☆10Jul 8, 2021Updated 4 years ago
- Sample Average Approximation (SAA) in Newsvendor☆11Aug 15, 2020Updated 5 years ago
- DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences, Neuron Visualisations, and Visual Counterfactu…☆10Oct 9, 2024Updated last year
- 8 labs of course Introduction to Computer System☆10Jun 17, 2014Updated 11 years ago
- A friendly UI for arXiv hosting papers on fairness and ethics in Machine Learning & Data Science☆12Jul 4, 2019Updated 6 years ago
- Deep Dual Support Vector Data Description for Anomaly Detection on Attributed Networks☆12Oct 4, 2021Updated 4 years ago
- Adversarial learning by utilizing model interpretation☆10Oct 19, 2018Updated 7 years ago
- A wicked fast 2048 game engine with AI☆15Mar 12, 2014Updated 11 years ago
- This repository is about my work "Infrared Small Target Using Tri-layer Template Local Difference Measure", including the link of paper, …☆12Apr 20, 2022Updated 3 years ago
- MATLAB and Simulink models for minimum shift keying☆11Aug 21, 2020Updated 5 years ago
- Official Implementation of SEA: Sparse Linear Attention with Estimated Attention Mask (ICLR 2024)☆11Jun 20, 2025Updated 8 months ago
- MDPC+：Clustering by fast detection of main density peaks within a peak digraph☆10Feb 4, 2023Updated 3 years ago
- Code for 'CausalAdv: Adversarial Robustness Through the Lens of Causality'☆43Jan 19, 2024Updated 2 years ago
- ☆10Sep 19, 2023Updated 2 years ago
- 2D platformer game where you play as a non-flying kind of duck.☆10Apr 9, 2018Updated 7 years ago
- ☆11Mar 25, 2022Updated 3 years ago
- Detection of abnormal patterns in electricity usage via time series forecasting☆11Apr 15, 2018Updated 7 years ago
- ⚖️ Code for the paper "Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning".☆11Dec 8, 2022Updated 3 years ago
- Causality with machine learning, topic including causal represenation learning, causal reinforcement learning☆11Apr 19, 2021Updated 4 years ago
- PyTorch code for the Neurips 2021 paper: Fairness via Representation Neutralization☆10Oct 26, 2021Updated 4 years ago
- Neural Turing Machine☆13Jun 18, 2018Updated 7 years ago
- The package is developed for treatment recommendation & pairwise treatment individual effect estimation (ITE/CATE/HTE) when multiple trea…☆11Mar 9, 2023Updated 2 years ago
- ☆14Jan 21, 2021Updated 5 years ago
- Can Large Language Models Identify Authorship? (EMNLP 2024 Findings)☆12Feb 4, 2025Updated last year
- Temporal and Causal Reasoning (dataset)☆10Apr 19, 2022Updated 3 years ago
- Heterogeneous effects analysis of conjoint experiments using BART☆10Sep 6, 2023Updated 2 years ago