| pgmpy: A Python Toolkit for Bayesian Networks | Apr 17, 2023 | Causal DiscoveryCausal Identification | CodeCode Available | 4 | 5 |
| A Survey on Causal Discovery Methods for I.I.D. and Time Series Data | Mar 27, 2023 | Causal DiscoveryTime Series | CodeCode Available | 3 | 5 |
| DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions | Aug 27, 2021 | Causal Discovery | CodeCode Available | 3 | 5 |
| Causal-learn: Causal Discovery in Python | Jul 31, 2023 | Causal Discovery | CodeCode Available | 3 | 5 |
| CausalFormer: An Interpretable Transformer for Temporal Causal Discovery | Jun 24, 2024 | Causal DiscoveryTime Series | CodeCode Available | 2 | 5 |
| Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data | Jan 25, 2023 | Causal DiscoveryCausal Inference | CodeCode Available | 2 | 5 |
| pyhgf: A neural network library for predictive coding | Oct 11, 2024 | Causal DiscoveryMeta-Learning | CodeCode Available | 2 | 5 |
| CAnDOIT: Causal Discovery with Observational and Interventional Data from Time-Series | Oct 3, 2024 | Causal DiscoveryTime Series | CodeCode Available | 2 | 5 |
| Causal Evaluation of Language Models | May 1, 2024 | Causal DiscoveryCausal Inference | CodeCode Available | 2 | 5 |
| Causal structure learning with momentum: Sampling distributions over Markov Equivalence Classes of DAGs | Oct 9, 2023 | Causal DiscoveryGraph Sampling | CodeCode Available | 2 | 5 |
| gCastle: A Python Toolbox for Causal Discovery | Nov 30, 2021 | Causal DiscoveryGPU | CodeCode Available | 2 | 5 |
| PyRCA: A Library for Metric-based Root Cause Analysis | Jun 20, 2023 | Causal Discoverygraph construction | CodeCode Available | 2 | 5 |
| Causal Reasoning and Large Language Models: Opening a New Frontier for Causality | Apr 28, 2023 | Causal DiscoveryCommon Sense Reasoning | CodeCode Available | 2 | 5 |
| CUTS+: High-dimensional Causal Discovery from Irregular Time-series | May 10, 2023 | Causal DiscoveryDecision Making | CodeCode Available | 1 | 5 |
| CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning | Jan 30, 2024 | Causal DiscoveryDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| CUTS: Neural Causal Discovery from Irregular Time-Series Data | Feb 15, 2023 | Causal DiscoveryGraph Neural Network | CodeCode Available | 1 | 5 |
| CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery | Oct 3, 2023 | BenchmarkingCausal Discovery | CodeCode Available | 1 | 5 |
| Causal Structure Learning Supervised by Large Language Model | Nov 20, 2023 | Causal DiscoveryCausal Inference | CodeCode Available | 1 | 5 |
| CIPCaD-Bench: Continuous Industrial Process datasets for benchmarking Causal Discovery methods | Aug 2, 2022 | BenchmarkingCausal Discovery | CodeCode Available | 1 | 5 |
| DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization | Sep 16, 2022 | Causal Discovery | CodeCode Available | 1 | 5 |
| CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models | May 22, 2025 | Causal DiscoveryGraph Reconstruction | CodeCode Available | 1 | 5 |
| Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game | Feb 26, 2021 | Causal Discovery | CodeCode Available | 1 | 5 |
| CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes | Apr 1, 2024 | Causal DiscoveryCausal Discovery in Video Reasoning | CodeCode Available | 1 | 5 |
| CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data | Oct 31, 2022 | Causal DiscoveryCausal Inference | CodeCode Available | 1 | 5 |
| How to Enhance Causal Discrimination of Utterances: A Case on Affective Reasoning | May 4, 2023 | ARCCausal Discovery | CodeCode Available | 1 | 5 |
| Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting | Mar 6, 2023 | Bilevel OptimizationCausal Discovery | CodeCode Available | 1 | 5 |
| Neural graphical modelling in continuous-time: consistency guarantees and algorithms | May 6, 2021 | Causal DiscoveryGraph Learning | CodeCode Available | 1 | 5 |
| copent: Estimating Copula Entropy and Transfer Entropy in R | May 27, 2020 | BIG-bench Machine LearningCausal Discovery | CodeCode Available | 1 | 5 |
| A Ladder of Causal Distances | May 5, 2020 | BenchmarkingCausal Discovery | CodeCode Available | 1 | 5 |
| A Large Scale Search Dataset for Unbiased Learning to Rank | Jul 7, 2022 | Causal DiscoveryLanguage Modelling | CodeCode Available | 1 | 5 |
| Causal Discovery with Language Models as Imperfect Experts | Jul 5, 2023 | Causal DiscoveryDecision Making | CodeCode Available | 1 | 5 |
| Causal Discovery in Semi-Stationary Time Series | Jul 10, 2024 | Causal DiscoveryTime Series | CodeCode Available | 1 | 5 |
| Causal Discovery via Conditional Independence Testing with Proxy Variables | May 9, 2023 | Causal DiscoveryCausal Identification | CodeCode Available | 1 | 5 |
| causalgraph: A Python Package for Modeling, Persisting and Visualizing Causal Graphs Embedded in Knowledge Graphs | Jan 20, 2023 | Causal DiscoveryCausal Inference | CodeCode Available | 1 | 5 |
| Assumption violations in causal discovery and the robustness of score matching | Oct 20, 2023 | Causal Discovery | CodeCode Available | 1 | 5 |
| Autoregressive flow-based causal discovery and inference | Jul 18, 2020 | Causal DiscoveryCausal Inference | CodeCode Available | 1 | 5 |
| Amortized Inference for Causal Structure Learning | May 25, 2022 | Causal DiscoveryInductive Bias | CodeCode Available | 1 | 5 |
| Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data | Jun 18, 2020 | Causal DiscoveryTime Series | CodeCode Available | 1 | 5 |
| BayesDAG: Gradient-Based Posterior Inference for Causal Discovery | Jul 26, 2023 | Causal DiscoveryVariational Inference | CodeCode Available | 1 | 5 |
| BusyBot: Learning to Interact, Reason, and Plan in a BusyBoard Environment | Jul 17, 2022 | Causal DiscoveryRobot Manipulation | CodeCode Available | 1 | 5 |
| BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery | Dec 6, 2021 | Causal DiscoveryStochastic Optimization | CodeCode Available | 1 | 5 |
| Causal Discovery via Bayesian Optimization | Jan 25, 2025 | Bayesian OptimizationCausal Discovery | CodeCode Available | 1 | 5 |
| Active Bayesian Causal Inference | Jun 4, 2022 | Active LearningCausal Discovery | CodeCode Available | 1 | 5 |
| BISCUIT: Causal Representation Learning from Binary Interactions | Jun 16, 2023 | Causal DiscoveryCausal Identification | CodeCode Available | 1 | 5 |
| Causal Discovery in Knowledge Graphs by Exploiting Asymmetric Properties of Non-Gaussian Distributions | Jun 2, 2021 | Causal DiscoveryKnowledge Graphs | CodeCode Available | 1 | 5 |
| Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery | Jan 18, 2023 | Causal Discoverysoftware testing | CodeCode Available | 1 | 5 |
| Adjustment Identification Distance: A gadjid for Causal Structure Learning | Feb 13, 2024 | Causal Discovery | CodeCode Available | 1 | 5 |
| Causal Autoregressive Flows | Nov 4, 2020 | Causal DiscoveryCausal Inference | CodeCode Available | 1 | 5 |
| A Meta-Reinforcement Learning Algorithm for Causal Discovery | Jul 18, 2022 | Causal DiscoveryMeta Reinforcement Learning | CodeCode Available | 1 | 5 |
| Causal Discovery from Subsampled Time Series with Proxy Variables | May 9, 2023 | Causal DiscoveryCausal Identification | CodeCode Available | 1 | 5 |
