Alternatives and similar repositories for Awesome-Causality-and-ML-Papers:

Users that are interested in Awesome-Causality-and-ML-Papers are comparing it to the libraries listed below

• nuster1128 / Awesome-Causal-Papers
  We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)
  ☆76Updated last year
• rguo12 / network-deconfounder-wsdm20
  Code for the WSDM '20 paper, Learning Individual Causal Effects from Networked Observational Data.
  ☆75Updated 3 years ago
• anpwu / Causal4Application
  ☆23Updated 2 years ago
• CausalAILab / NeuralCausalModels
  Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.
  ☆24Updated 2 years ago
• songjiang0909 / Causal-Inference-on-Networked-Data
  Code for paper "Estimating Causal Effects on Networked Observational Data via Representation Learning"
  ☆15Updated last year
• anpwu / DeR-CFR
  ☆18Updated 2 years ago
• alwaysmodest / A-Survey-of-Deep-Causal-Models-and-Their-Industrial-Applications
  ☆28Updated 4 months ago
• hlzhang109 / TransTEE
  ☆31Updated 2 years ago
• rik-helwegen / CEVAE_pytorch
  ☆40Updated 5 years ago
• anzhang314 / ReScore
  Official code of "Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting" (2023 ICLR)
  ☆16Updated last year
• usail-hkust / Awesome-Causality-Inspired-GNNs
  An awesome collection of causality-inspired graph neural networks.
  ☆57Updated last month
• ckassaad / causal_discovery_for_time_series
  Causal discovery for time series
  ☆90Updated 2 years ago
• z-dragonl / Causal-Learner
  Causal Learner: A Toolbox for Causal Structure and Markov Blanket Learning
  ☆41Updated 11 months ago
• ignavierng / golem
  On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
  ☆33Updated 3 years ago
• Valentyn1997 / CausalTransformer
  Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
  ☆127Updated 5 months ago
• DMIRLAB-Group / CANM
  This code provide the CANM algorithim for causal discovery. Please cite "Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao. Cau…
  ☆16Updated 5 years ago
• DMIRLAB-Group / CDMIR
  ☆28Updated last month
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆76Updated last year
• kalinlau / awesome-causal-learning
  Causality with machine learning, topic including causal represenation learning, causal reinforcement learning
  ☆11Updated 3 years ago
• anpwu / Awesome-Causal-LLM
  ☆26Updated 3 months ago
• kevinsbello / dagma
  A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…
  ☆109Updated last year
• yangalan123 / TemporalPointProcessPapers
  Paper lists for Temporal Point Process
  ☆105Updated 3 months ago
• Osier-Yi / SITE
  ☆58Updated 2 years ago
• jsyoon0823 / GANITE
  Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
  ☆58Updated 4 years ago
• causal-machine-learning-lab / mliv
  ☆26Updated 2 years ago
• patrickrchao / DiffusionBasedCausalModels
  ☆24Updated last year
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆133Updated 7 months ago
• jma712 / HyperSCI
  ☆43Updated 11 months ago
• divyat09 / cate-estimator-selection
  Code accompanying the paper "Empirical analysis of model selection for heterogeneous causal effect estimation"
  ☆12Updated 9 months ago
• lushleaf / varying-coefficient-net-with-functional-tr
  [ICLR 2021] Code for: Varying Coefficient Neural Network with Functional Targeted Regularization for Estimating Continuous Treatment Effe…
  ☆71Updated 2 years ago