Python implementation of the Invariant Causal Prediction (ICP) algorithm, from the 2015 paper "Causal inference using invariant prediction: identification and confidence intervals" by Jonas Peters, Peter Bühlmann and Nicolai Meinshausen.
☆27Feb 15, 2024Updated 2 years ago
Alternatives and similar repositories for icp
Users that are interested in icp are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code to reproduce the experimental results from the paper "Active Invariant Causal Prediction: Experiment Selection Through Stability", b…☆22Jul 6, 2023Updated 3 years ago
- This packages provides a simple python implementation of Invariant Causal Prediction (ICP)☆13Mar 22, 2024Updated 2 years ago
- Framework to generate observational and interventional samples from structural equation models (SEMs)☆22Apr 14, 2025Updated last year
- Public dataset repository for the Causal Chamber Project☆66Jun 7, 2026Updated last month
- Implementations of var-sortability, sortnregress, and chain-orientation as presented in the article "Beware of the Simulated DAG": https:…☆15Nov 2, 2023Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…☆64Mar 3, 2025Updated last year
- Computing calibrated prediction intervals for neural network regressors☆10May 28, 2019Updated 7 years ago
- Code for a variety of nonlinear conditional independence tests and 'nonlinear Invariant Causal Prediction' to estimate the causal parents…☆17Nov 12, 2019Updated 6 years ago
- ☆12Nov 1, 2019Updated 6 years ago
- Illustration of counterfactual inference following Ferenc Huszar example☆13Aug 15, 2025Updated 11 months ago
- ☆26Feb 16, 2022Updated 4 years ago
- Active learning for optimal intervention design in causal models☆17Nov 8, 2023Updated 2 years ago
- Python scripts for downloading and converting UCI data sets☆10Nov 19, 2024Updated last year
- LSTM Neural Network for predicting whether future price going up or not in a specific time interval☆13Feb 14, 2018Updated 8 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Deep Kernel Survival Analysis and Subject-Specific Survival Time Prediction Intervals☆13Oct 1, 2021Updated 4 years ago
- Predicting treatment effects from RCTs (Circulation: CQO 2019).☆10Jun 21, 2022Updated 4 years ago
- 从0学习深度学习课程,跟随Andrew Ng的Coursera课程,课后根据记忆用python代码实现课程作业☆12Jan 14, 2020Updated 6 years ago
- Deep Counterfactual Prediction with Categorical Backward Variables☆12Feb 8, 2023Updated 3 years ago
- A fast and robust Bayesian nonparametric method for prediction of complex traits using GWAS summary statistics☆14May 24, 2025Updated last year
- An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…☆14Jul 10, 2024Updated 2 years ago
- Πανεπιστήριο Πειραιώς - Τμήμα Ψηφιακών Συστημάτων - ΨΣ-512 Πληροφοριακά Συστήματα - Υλικό Εργαστηρίου☆19Apr 3, 2023Updated 3 years ago
- A pure Python and Numpy implementation of an LSTM Network☆13Mar 2, 2017Updated 9 years ago
- Simple scVI implementation☆13Jul 13, 2026Updated last week
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆17Mar 9, 2023Updated 3 years ago
- ☆32Jul 8, 2018Updated 8 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Oct 29, 2014Updated 11 years ago
- Implementation of neural network algorithm for estimation of heterogeneous treatment effects and propensity scores described in Farrell, …☆13Jun 19, 2021Updated 5 years ago
- Prediction Intervals with specific value prediction☆19Jan 28, 2021Updated 5 years ago
- CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation☆10Oct 19, 2018Updated 7 years ago
- ☆13Oct 21, 2021Updated 4 years ago
- List of python packages for causal inference☆17Oct 24, 2021Updated 4 years ago
- ☆18May 18, 2021Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- MR-link and genome integration. genome_integration is a repository for the analysis of genomic data. Specifically, the repository impleme…☆11Jul 8, 2022Updated 4 years ago
- Data from the HeartSteps V1 study☆21Jul 18, 2023Updated 3 years ago
- ☆31Apr 24, 2024Updated 2 years ago
- Code to reproduce the experiments from the paper "Self-Compatibility: Evaluating Causal Discovery without Ground Truth"☆12Mar 9, 2024Updated 2 years ago
- Implementation of methods to sample from Boltzmann distributions☆22Jan 24, 2023Updated 3 years ago
- The official implement of paper S2-VER: Semi-Supervised Visual Emotion Recognition☆11Apr 28, 2024Updated 2 years ago
- This repository captures source code and data sets for our paper at the Causal Discovery & Causality-Inspired Machine Learning Workshop a…☆62Aug 14, 2024Updated last year