Alternatives and similar repositories for Causal-Decision-Making

Users that are interested in Causal-Decision-Making are comparing it to the libraries listed below

• Valentyn1997 / CausalTransformer
  Code for the paper "Causal Transformer for Estimating Counterfactual Outcomes"
  ☆163Updated last year
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆94Updated 6 months ago
• matthewvowels1 / Awesome-Causal-Inference
  A curated list of awesome work on causal inference, particularly in machine learning.
  ☆108Updated 4 years ago
• anpwu / Causal4Application
  ☆25Updated 3 years ago
• IntelLabs / causality-lab
  Causal discovery algorithms and tools for implementing new ones
  ☆231Updated 3 months ago
• familyld / Awesome-Causal-RL
  A curated list of causal reinforcement learning resources.
  ☆100Updated last year
• 945716994 / awesome-Causal-RL-papers
  Here is a list of papers related to causal reinforcement learning, and I hope you can submit relevant missing papers in the issue.
  ☆19Updated last year
• 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)
  ☆93Updated 2 years ago
• microsoft / csuite
  CSuite: A Suite of Benchmark Datasets for Causality
  ☆76Updated 2 years ago
• anpwu / Awesome-Causal-LLM
  ☆39Updated last year
• csquires / 6.S091-causality
  ☆190Updated 2 years ago
• jneuer / pearl-primer
  Notes for Judea Pearl et al., *Causal Inference in Statistics, a Primer*
  ☆68Updated 6 years ago
• phlippe / ENCO
  Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
  ☆86Updated last year
• larslorch / avici
  Amortized Inference for Causal Structure Learning, NeurIPS 2022
  ☆68Updated 8 months 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…
  ☆341Updated last year
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆47Updated 2 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
  ☆33Updated 4 months ago
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆72Updated this week
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆739Updated 2 years ago
• hlzhang109 / TransTEE
  ☆35Updated last month
• Causal-Inference-ZeroToAll / causality4ml
  把因果思维融入机器学习中
  ☆81Updated 5 years ago
• CausalAILab / NeuralCausalModels
  Neural Causal Model (NCM) implementation by the authors of The Causal Neural Connection.
  ☆28Updated 2 years ago
• wan19990901 / Causal-LLM-Paper
  Papers collections that is related to knowledge graph, causal inference, and large language model
  ☆60Updated last year
• kalinlau / awesome-causal-learning
  Causality with machine learning, topic including causal represenation learning, causal reinforcement learning
  ☆11Updated 4 years ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆80Updated 4 years ago
• Lancelot39 / Causal-Copilot
  ☆146Updated last month
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆134Updated 7 months ago
• py-why / pywhyllm
  Experimental library integrating LLM capabilities to support causal analyses
  ☆252Updated 2 weeks ago
• chritoth / active-bayesian-causal-inference
  Active Bayesian Causal Inference (Neurips'22)
  ☆58Updated last year
• kevinsbello / dagma
  A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matr…
  ☆128Updated last year