Alternatives and similar repositories for cate-estimator-selection

Users that are interested in cate-estimator-selection are comparing it to the libraries listed below

• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆738Updated 2 years ago
• kochbj / Deep-Learning-for-Causal-Inference
  Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…
  ☆337Updated 10 months ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆476Updated last year
• ignavierng / golem
  On the Role of Sparsity and DAG Constraints for Learning Linear DAGs
  ☆33Updated 4 years ago
• cmu-phil / py-tetrad
  Makes algorithms/code in Tetrad available in Python via JPype
  ☆83Updated last month
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆147Updated last year
• IntelLabs / causality-lab
  Causal discovery algorithms and tools for implementing new ones
  ☆226Updated 2 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…
  ☆125Updated last year
• kalinlau / awesome-causal-learning
  Causality with machine learning, topic including causal represenation learning, causal reinforcement learning
  ☆11Updated 4 years ago
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆89Updated 5 months ago
• CausalAILab / NeuralCausalModels
  Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.
  ☆24Updated 2 years ago
• juangamella / ges
  Python implementation of the GES algorithm for causal discovery, from the 2002 paper "Optimal Structure Identification With Greedy Search…
  ☆60Updated 6 months ago
• rik-helwegen / CEVAE_pytorch
  ☆45Updated 6 years ago
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆48Updated 2 years ago
• Valentyn1997 / CausalTransformer
  Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
  ☆159Updated last year
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆77Updated 4 years ago
• eberharf / fges-py
  ☆18Updated 5 years ago
• huiyang-yi / Awesome-Causality-and-ML-Papers
  关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结
  ☆31Updated 3 months ago
• jmoss20 / notears
  Implementation of "DAGs with NO TEARS: Smooth Optimization for Structure Learning", by Zheng et al. (2018)
  ☆49Updated 6 years ago
• Biwei-Huang / Causal-Discovery-from-Nonstationary-Heterogeneous-Data
  Causal Discovery from Nonstationary/Heterogeneous Data.
  ☆53Updated 5 years ago
• keiichishima / pcalg
  CPDAG Estimation using PC-Algorithm
  ☆95Updated 3 years ago
• clinicalml / cfrnet
  Counterfactual Regression
  ☆313Updated 2 years ago
• boschresearch / causalAssembly
  ☆30Updated 3 weeks ago
• hlzhang109 / TransTEE
  ☆35Updated 3 years ago
• claudiashi57 / dragonnet
  ☆280Updated 3 years ago
• jsyoon0823 / GANITE
  Codebase for GANITE: Estimation of Individualized Treatment Effects using GANs - ICLR 2018
  ☆62Updated 5 years ago
• py-why / causal-learn
  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
  ☆1,450Updated 2 months ago
• ckassaad / causal_discovery_for_time_series
  Causal discovery for time series
  ☆100Updated 3 years ago
• anpwu / Causal4Application
  ☆24Updated 3 years ago
• cdt15 / lingam
  Python package for causal discovery based on LiNGAM.
  ☆441Updated 2 weeks ago