Projects in Awesome Lists tagged with causal
A curated list of projects in awesome lists tagged with causal .
https://github.com/py-why/causal-learn
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
causal causal-discovery causal-inference causal-representation-learning causality confounder graph hidden-causal independence-tests python statistics structure tetrad time-series
Last synced: 28 Dec 2025
https://github.com/biomedsciai/causallib
A Python package for modular causal inference analysis and model evaluations
causal causal-inference causal-models causality data-science machine-learning ml
Last synced: 14 May 2025
https://github.com/BiomedSciAI/causallib
A Python package for modular causal inference analysis and model evaluations
causal causal-inference causal-models causality data-science machine-learning ml
Last synced: 27 Mar 2025
https://github.com/erdogant/bnlearn
Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
bayesian-inference causal causal-models causal-networks causality-analysis dag directed-acyclic-graph machine-learning parameter-learning python sampling-methods structure-learning
Last synced: 14 May 2025
https://github.com/msuzen/looper
A resource list for causality in statistics, data science and physics
bayesian-inference causal causal-discovery causal-impact causal-inference causal-machine-learning causal-models causal-networks causality causality-algorithms causality-analysis causation data-science machine-learning meta-learning physics statistical-inference statistical-mechanics statistical-physics statistics
Last synced: 25 Dec 2025
https://github.com/paul-krug/pytorch-tcn
(Realtime) Temporal Convolutions in PyTorch
causal causal-inference causal-models realtime realtime-neural-network streaming-inference temporal-convolutional-networks
Last synced: 19 Jan 2026
https://github.com/integrated-inferences/causalqueries
Bayesian inference from binary causal models
bayes causal dags mixedmethods stan
Last synced: 13 Feb 2026
https://github.com/integrated-inferences/CausalQueries
Bayesian inference from binary causal models
bayes causal dags mixedmethods stan
Last synced: 26 Apr 2025
https://github.com/microsoft/ML4C
[SDM'23] ML4C: Seeing Causality Through Latent Vicinity
causal causal-discovery causality causality-algorithms discrete graph structure-learning supervised-causal-learning supervised-learning
Last synced: 17 Sep 2025
https://github.com/janteichertkluge/dmlsim
This library provides packages on DoubleML / Causal Machine Learning and Neural Networks in Python for Simulation and Case Studies.
beit bert case-study causal causal-inference causal-machine-learning deep-learning dgp double-machine-learning doubleml machine-learning multi-modal multimodal multimodal-deep-learning neural-network simulation transformer transformers
Last synced: 13 Apr 2025
https://github.com/jvrana/caldera
🌋 Pytorch extension for training on biological network data (ARCHIVED)
causal deep-learning graph network pytorch
Last synced: 16 Jan 2026
https://github.com/structural-explainability/paper-100-neutral-substrate
Paper establishing that for an ontological substrate to remain neutral and stable under allowable frameworks that include persistent disagreement, causal or normative commitments cannot be part of the substrate itself.
academic-paper accountability causal deontic explainability formal-ontology foundations latex neutrality-constraints neutrality-theorem ontological-neutrality structural-explainability substrate-stability
Last synced: 02 May 2026
https://github.com/till-tietz/causalqueriestools
Bayesian inference with large causal models. CausalQueries companion.
bayes causal dags rcpp rcpparmadillo stan
Last synced: 20 Mar 2025
