Alternatives and similar repositories for KCRL

Users that are interested in KCRL are comparing it to the libraries listed below

• CausalAILab / NeuralCausalModels
  Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.
  ☆24Updated 2 years ago
• giovanniMen / CPCaD-Bench
  Continuous Industrial Process datasets for benchmarking Causal Discovery methods
  ☆33Updated 2 years ago
• Renovamen / pcalg-py
  Implement PC algorithm in Python | PC 算法的 Python 实现
  ☆118Updated last year
• IntelLabs / causality-lab
  Causal discovery algorithms and tools for implementing new ones
  ☆224Updated last month
• keiichishima / pcalg
  CPDAG Estimation using PC-Algorithm
  ☆95Updated 3 years ago
• xiangyu-sun-789 / NTS-NOTEARS
  Code for paper: NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge
  ☆27Updated 2 years ago
• ckassaad / causal_discovery_for_time_series
  Causal discovery for time series
  ☆100Updated 3 years ago
• zhushy / causal-datasets
  Datasets for Causal-Structure-Learning Repo
  ☆15Updated 5 years ago
• jmoss20 / notears
  Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)
  ☆49Updated 6 years ago
• gcastle-hub / dataset
  ☆22Updated 2 years ago
• kurowasan / GraN-DAG
  ☆93Updated 2 years ago
• ignavierng / golem
  On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
  ☆33Updated 4 years ago
• Biwei-Huang / Causal-Discovery-from-Nonstationary-Heterogeneous-Data
  Causal Discovery from Nonstationary/Heterogeneous Data.
  ☆53Updated 5 years ago
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆73Updated 2 years ago
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆87Updated 3 months ago
• azamikram / rcd
  Root Cause Discovery: Root Cause Analysis of Failures in Microservices through Causal Discovery
  ☆58Updated last year
• juangamella / ges
  Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…
  ☆59Updated 5 months ago
• anpwu / Awesome-Causal-LLM
  ☆38Updated 9 months ago
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆71Updated last month
• DAMO-DI-ML / AAAI2022-HCM
  Source code of AAAI'22 paper: A Hybrid Causal Structure Learning Algorithm for Mixed-type Data
  ☆39Updated 3 years ago
• songjiang0909 / Causal-Inference-on-Networked-Data
  Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"
  ☆18Updated 2 years ago
• Valentyn1997 / CausalTransformer
  Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
  ☆153Updated last year
• xunzheng / notears
  DAGs with NO TEARS: Continuous Optimization for Structure Learning
  ☆642Updated last year
• eberharf / fges-py
  ☆18Updated 5 years ago
• TURuibo / Neuropathic-Pain-Diagnosis-Simulator
  Neuropathic Pain Diagnosis Simulator
  ☆11Updated 2 years ago
• NetManAIOps / CIRCA
  Causal Inference-based Root Cause Analysis
  ☆88Updated 2 years ago
• tmlr-group / CausalCOAT
  [NeurIPS 2024] "Discovery of the Hidden World with Large Language Models"
  ☆21Updated 8 months ago
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆66Updated 6 months ago
• fishmoon1234 / DAG-GNN
  ☆314Updated 3 years ago
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆75Updated 4 years ago