Active Bayesian Causal Inference (Neurips'22)
☆61Jul 29, 2024Updated last year
Alternatives and similar repositories for active-bayesian-causal-inference
Users that are interested in active-bayesian-causal-inference are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"☆90Mar 31, 2024Updated 2 years ago
- Causal Modeling with Stationary Diffusions, AISTATS 2024☆22Mar 3, 2025Updated last year
- ☆12Aug 16, 2022Updated 3 years ago
- Pytorch implementation of "Adapting Text Embeddings for Causal Inference"☆93Jan 25, 2022Updated 4 years ago
- Mis proyectos de marketing aplicando AI☆10Oct 31, 2025Updated 7 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- LearningByDoing NeurIPS 2021 Competition: Standalone Code and Results☆19Aug 30, 2022Updated 3 years ago
- Official code repository to the corresponding paper.☆29Sep 14, 2023Updated 2 years ago
- Code for the paper "Local Causal Discovery for Estimating Causal Effects".☆12Apr 9, 2024Updated 2 years ago
- A Python package for causal inference in quasi-experimental settings☆1,151Updated this week
- ☆15Nov 23, 2023Updated 2 years ago
- Tensorflow 2 implementation of Causal-BERT☆74Nov 5, 2023Updated 2 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆17Jun 7, 2021Updated 5 years ago
- Code for "Counterfactual Explanations in Sequential Decision Making Under Uncertainty", NeurIPS 2021☆17Feb 8, 2023Updated 3 years ago
- Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021☆28Oct 26, 2021Updated 4 years ago
- 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.
- ☆31Jun 3, 2026Updated last week
- This is a comprehensive guide on how you can automate your feature engineering process.☆11Jun 25, 2018Updated 7 years ago
- Experimental library integrating LLM capabilities to support causal analyses☆307Jan 6, 2026Updated 5 months ago
- ☆528Dec 16, 2024Updated last year
- Repository for paper Decrypting Cryptic Crosswords☆11Jan 15, 2022Updated 4 years ago
- causal-falsify: A Python library with algorithms for falsifying the unconfoundedness assumption in a composite dataset from multiple sour…☆40Mar 6, 2026Updated 3 months ago
- Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner☆17May 20, 2025Updated last year
- Agent models implemented with Pyro☆11Jul 11, 2023Updated 2 years ago
- ☆19Apr 7, 2025Updated last year
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆85Dec 20, 2024Updated last year
- ☆18Jan 9, 2024Updated 2 years ago
- DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021☆53Feb 27, 2024Updated 2 years ago
- An experimental language for causal reasoning☆269Apr 13, 2026Updated last month
- Quantile risk minimization☆26Aug 8, 2024Updated last year
- Causal Inference and Discovery in Python by Packt Publishing☆1,009Mar 2, 2026Updated 3 months ago
- ☆25Feb 6, 2023Updated 3 years ago
- ☆31Nov 27, 2024Updated last year
- OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)☆36Apr 20, 2026Updated last month
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Assigns Elo Ratings to Python Global Optimizers☆24Apr 3, 2024Updated 2 years ago
- Connecting Interpretability and Robustness in Decision Trees through Separation☆17May 8, 2021Updated 5 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Jan 18, 2019Updated 7 years ago
- Project on Causal Machine learning CS 7290☆16Dec 7, 2019Updated 6 years ago
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆18Jun 18, 2020Updated 5 years ago
- A resource list for causality in statistics, data science and physics☆267Jan 28, 2026Updated 4 months ago
- JS/TS SDK for handling (extensible) events in Matrix☆10Jan 13, 2023Updated 3 years ago