Alternatives and similar repositories for trustworthyAI:

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

• py-why / causal-learn
  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
  ☆1,310Updated 2 weeks ago
• FenTechSolutions / CausalDiscoveryToolbox
  Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
  ☆1,167Updated last year
• xunzheng / notears
  DAGs with NO TEARS: Continuous Optimization for Structure Learning
  ☆620Updated 10 months ago
• rguo12 / awesome-causality-data
  A data index for learning causality.
  ☆462Updated last year
• jvpoulos / causal-ml
  Must-read papers and resources related to causal inference and machine (deep) learning
  ☆698Updated 2 years ago
• cdt15 / lingam
  Python package for causal discovery based on LiNGAM.
  ☆407Updated 3 weeks ago
• microsoft / causica
  ☆475Updated 3 months ago
• rguo12 / awesome-causality-algorithms
  An index of algorithms for learning causality with data
  ☆3,115Updated 2 months ago
• fulifeng / Causal_Reading_Group
  We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NU…
  ☆514Updated 2 years ago
• IntelLabs / causality-lab
  Causal discovery algorithms and tools for implementing new ones
  ☆217Updated 2 months ago
• BiomedSciAI / causallib
  A Python package for modular causal inference analysis and model evaluations
  ☆764Updated last week
• clinicalml / cfrnet
  Counterfactual Regression
  ☆304Updated 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…
  ☆314Updated 5 months ago
• salesforce / causalai
  Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
  ☆277Updated 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…
  ☆116Updated last year
• AMLab-Amsterdam / CEVAE
  Causal Effect Inference with Deep Latent-Variable Models
  ☆334Updated 4 years ago
• altdeep / causalML
  The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
  ☆759Updated 8 months ago
• amit-sharma / causal-inference-tutorial
  Repository with code and slides for a tutorial on causal inference.
  ☆575Updated 5 years ago
• claudiashi57 / dragonnet
  ☆263Updated 2 years ago
• AliciaCurth / CATENets
  Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.
  ☆136Updated 9 months ago
• M-Nauta / TCDF
  Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
  ☆495Updated 3 years ago
• keiichishima / pcalg
  CPDAG Estimation using PC-Algorithm
  ☆95Updated 2 years ago
• jakobrunge / tigramite
  Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
  ☆1,441Updated 3 months ago
• DataCanvasIO / YLearn
  YLearn, a pun of "learn why", is a python package for causal inference
  ☆415Updated this week
• cmu-phil / py-tetrad
  Makes algorithms/code in Tetrad available in Python via JPype
  ☆72Updated 2 weeks ago
• fishmoon1234 / DAG-GNN
  ☆305Updated 3 years ago
• cmu-phil / example-causal-datasets
  Example causal datasets with consistent formatting and ground truth
  ☆81Updated last year
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆564Updated 2 weeks ago
• bd2kccd / py-causal
  ☆204Updated 2 years ago
• cmu-phil / tetrad
  Repository for the Tetrad Project, www.phil.cmu.edu/tetrad.
  ☆419Updated this week