The CausalRivers benchmark package. Evaluate your Causal Discovery method on real-world data.
☆42Sep 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
Sorting:
- CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models☆27Oct 6, 2025Updated 4 months ago
- ☆27Dec 20, 2021Updated 4 years ago
- Causal Neural Nerwork☆148Sep 26, 2025Updated 5 months ago
- Code to reproduce the paper "Do causal predictors generalize better to new domains?"☆15Feb 7, 2025Updated last year
- Repository for ''Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale''☆14Apr 30, 2024Updated last year
- ☆16Jan 20, 2025Updated 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
- A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective☆36Jan 19, 2026Updated last month
- Code for the causal benchmark library☆12Mar 11, 2025Updated 11 months ago
- [TMLR 2025] This is the official code of our Paper "DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series…☆39Dec 20, 2025Updated 2 months ago
- ☆13Nov 13, 2024Updated last year
- Code for PCMCI-Ω algorithm from the NeurIPS'23 paper "Causal Discovery in Semi-Stationary Time Series"☆18Oct 16, 2024Updated last year
- On the Role of Sparsity and DAG Constraints for Learning Linear DAGs☆34Jun 23, 2021Updated 4 years ago
- Causal Discovery via Bayesian Optimization (DrBO) - ICLR 2025☆26Apr 13, 2025Updated 10 months ago
- CIKM'24: Channel-Aware Low-Rank Adaptation for Long-term Series Forecasting☆15May 3, 2025Updated 10 months ago
- ☆46Jul 25, 2024Updated last year
- A Large-scale Benchmark Dataset for Data-Driven Streamflow Forecasting☆25Mar 16, 2023Updated 2 years ago
- ☆110Jun 11, 2025Updated 8 months ago
- [KDD 2023 (Oral)] Discovering Dynamic Causal Space for DAG Structure Learning☆24Jun 15, 2023Updated 2 years ago
- ChatTS-Training based on LLaMA-Factory☆35Nov 13, 2025Updated 3 months ago
- An efficient spatial-temporal transformer with temporal aggregation and spatial memory for traffic forecasting☆29Apr 27, 2025Updated 10 months ago
- Amortized Inference for Causal Structure Learning, NeurIPS 2022☆71Feb 11, 2025Updated last year
- PyTorch Implementation of "TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting" (ICML 2025)☆97Jun 27, 2025Updated 8 months ago
- ☆33Feb 23, 2023Updated 3 years ago
- A correlation information-based spatiotemporal network for traffic flow forecasting☆28Feb 23, 2024Updated 2 years ago
- ☆28Sep 15, 2023Updated 2 years ago
- Custom YOLO11m model for detecting and classifying car body damage (99% shattered glass, 96% flat tire detection accuracy)—optimized for …☆24Jun 1, 2025Updated 9 months ago
- ☆46Feb 18, 2026Updated 2 weeks 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 8 months ago
- The implementation Code of CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement☆37Oct 12, 2023Updated 2 years ago
- Codes for "Retrieval-Augmented Diffusion Models for Time Series Forecasting"☆81Oct 29, 2024Updated last year
- This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at☆26Mar 14, 2023Updated 2 years ago
- Repository for "The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications"☆11May 30, 2025Updated 9 months ago
- 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
- Learning Text-Enhanced Urban Region Profiling with Contrastive Language-Image Pre-Training☆41Apr 28, 2024Updated last year
- This repository contain the code we used to divide NinaPro database 5 into train set and test set☆11Mar 14, 2019Updated 6 years ago
- Code to reproduce the experiments from the paper "Self-Compatibility: Evaluating Causal Discovery without Ground Truth"☆12Mar 9, 2024Updated last year
- ☆12Apr 17, 2024Updated last year
- Official Code for "How Much Can Time-related Features Enhance Time Series Forecasting?"☆41Jan 16, 2025Updated last year