Alternatives and similar repositories for CaSN

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

• Daftstone / CIMI
  ☆26Updated last year
• anzhang314 / ReScore
  Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)
  ☆16Updated 2 years ago
• xiangwang1223 / reinforced_causal_explainer
  Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022
  ☆36Updated 2 years ago
• weirayao / leap
  LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.
  ☆35Updated 2 years ago
• patrickrchao / DiffusionBasedCausalModels
  ☆25Updated last month
• JeanKaddour / SIN
  Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
  ☆42Updated 3 years ago
• yongduosui / CAL
  [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…
  ☆90Updated last year
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆53Updated last year
• yaoyao-yaoyao-cell / CRCG
  AAAI 2024 Accept
  ☆17Updated last year
• linyongver / ZIN_official
  This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?
  ☆22Updated 2 years ago
• ahujak / IB-IRM
  ☆30Updated 3 years ago
• ermongroup / BCD-Nets
  Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021
  ☆26Updated 3 years ago
• caus-am / dom_adapt
  Code for the NIPS 2018 paper "Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions"
  ☆18Updated 4 years ago
• mrojascarulla / causal_transfer_learning
  ☆32Updated 6 years ago
• sjblim / rmsn_nips_2018
  ☆39Updated 6 years ago
• jma712 / HyperSCI
  ☆44Updated last year
• googlebaba / StableGNN
  StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
  ☆22Updated last year
• fishmoon1234 / DAG-NoCurl
  ☆25Updated 3 years ago
• mostafaalishahi / eICU_Benchmark_updated
  An updated version of eICU Benchmark with an updated problem definition on LoS and Decompensation tasks
  ☆11Updated 3 years ago
• seedatnabeel / TE-CDE
  Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations (ICML 2022)
  ☆27Updated 2 years ago
• LJSthu / Kernelized-HRM
  The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".
  ☆12Updated 3 years ago
• Luodian / IIB
  ☆16Updated 3 years ago
• changliu00 / causal-semantic-generative-model
  Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …
  ☆73Updated 3 years ago
• facebookresearch / CausalRepID
  Experiments to reproduce results in Interventional Causal Representation Learning.
  ☆24Updated 2 years ago
• WanyuGroup / CVPR2022-OrphicX
  Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…
  ☆34Updated 3 years ago
• yanyanSann / PromptTPP
  PyTorch Implementation of Prompt-augmented Temporal Point Process for Streaming Event Sequence, NeurIPS 2023
  ☆14Updated last year
• DMIRLAB-Group / DSAN
  ☆19Updated 3 years ago
• zichuan-liu / ContraLSP
  [ICLR'24] Official PyTorch Implementation of ContraLSP
  ☆30Updated last year
• edebrouwer / cfqp
  Deep Counterfactual Prediction with Categorical Backward Variables
  ☆12Updated 2 years ago
• CausalTriplet / causaltriplet
  [CLeaR23] Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
  ☆30Updated 2 years ago