The CausalRivers benchmark package. Evaluate your Causal Discovery method on real-world data.
☆43Sep 2, 2025Updated 6 months ago
Alternatives and similar repositories for causalrivers
Users that are interested in causalrivers are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models☆29Oct 6, 2025Updated 5 months ago
- Code to reproduce the paper "Do causal predictors generalize better to new domains?"☆15Feb 7, 2025Updated last year
- ☆27Dec 20, 2021Updated 4 years ago
- ☆16Jan 20, 2025Updated last year
- Code for the causal benchmark library☆12Mar 11, 2025Updated last year
- Code for PCMCI-Ω algorithm from the NeurIPS'23 paper "Causal Discovery in Semi-Stationary Time Series"☆18Oct 16, 2024Updated last year
- A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective☆36Jan 19, 2026Updated 2 months ago
- ☆48Jul 25, 2024Updated last year
- ☆13Nov 13, 2024Updated last year
- Repository for ''Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale''☆14Apr 30, 2024Updated last year
- An unofficial, simple pytorch implementation of the paper "C-Mamba: Channel Correlation Enhanced State Space Models for Multivariate Time…☆18Jul 19, 2024Updated last year
- On the Role of Sparsity and DAG Constraints for Learning Linear DAGs☆35Jun 23, 2021Updated 4 years ago
- ChatTS-Training based on LLaMA-Factory☆36Nov 13, 2025Updated 4 months ago
- Causal Discovery via Bayesian Optimization (DrBO) - ICLR 2025☆26Apr 13, 2025Updated 11 months ago
- Irregular time series made easy☆19Nov 14, 2025Updated 4 months ago
- CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting☆15May 3, 2025Updated 10 months ago
- ☆111Jun 11, 2025Updated 9 months ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆73Feb 11, 2025Updated last year
- A curated list of papers in the intersection of multimodal LLMs and time series analysis. https://mllm-ts.github.io/paper/MLLMTS_Survey.p…☆62Aug 26, 2025Updated 6 months ago
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆29Apr 27, 2025Updated 10 months ago
- [KDD 2023 (Oral)] Discovering Dynamic Causal Space for DAG Structure Learning☆24Jun 15, 2023Updated 2 years ago
- Collection of research papers on time series explainability☆31Mar 5, 2026Updated 2 weeks ago
- How to use EconML within R☆12Nov 4, 2019Updated 6 years ago
- Codes for "Retrieval-Augmented Diffusion Models for Time Series Forecasting"☆83Oct 29, 2024Updated last year
- AERCA: Root Cause Analysis of Anomalies in Multivariate Time Series through Granger Causal Discovery (ICLR 2025 Oral)☆82May 31, 2025Updated 9 months ago
- 关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结☆34Jun 10, 2025Updated 9 months ago
- The code of MultiSPANS.☆12Oct 20, 2023Updated 2 years ago
- The code for the paper *The Sensitivity of Counterfactual Fairness to Unmeasured Confounding* @ UAI 2019☆14Apr 4, 2020Updated 5 years ago
- ☆28Sep 15, 2023Updated 2 years ago
- PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)☆105Jun 27, 2025Updated 8 months ago
- My solutions to Quizzes and Programming Assignments of the specialization.☆18Mar 4, 2021Updated 5 years ago
- [Experimental] Global causal discovery algorithms☆113Mar 16, 2026Updated last week
- Towards Automated Causal Discovery☆11Aug 20, 2024Updated last year
- 4th Year project aiming to implement PC, FCI and RFCI algorithms in python☆14Apr 29, 2019Updated 6 years ago
- Some Python tools to manipulate Delft3D(4)-FLOW input files and netCDF output.☆16Jul 26, 2022Updated 3 years ago
- ☆99Mar 5, 2023Updated 3 years ago
- Repository of materials for the tutorial 'Can you predict the future? Introduction to the NEON Forecasting Challenge'.☆15Feb 23, 2026Updated last month
- Simulations for predictive model selection in causal inference☆13Jan 16, 2025Updated last year
- NeurIPS 2020 Spotlight Paper☆13Dec 20, 2021Updated 4 years ago