FIRSTBEATLU
This package contains several methods for calculating Conditional Average Treatment Effects
- treatment-effect
- causal-inference
- causality
- econometrics
- economics
- machine-learning
- treatment-effects
7 packages found
causal-learn
causal-learn Python Package
- causal
- causal-discovery
- causal-inference
- causal-representation-learning
- causality
- confounder
- graph
- hidden-causal
- independence-tests
- python
- statistics
- structure
- tetrad
- time-series
causalml
Python Package for Uplift Modeling and Causal Inference with Machine Learning Algorithms
- causal-inference
- incubation
- machine-learning
- uplift-modeling
ylearn
A python package for causal inference
- causal-discovery
- causal-inference
- causal-models
- causality
- causality-algorithms
- causality-analysis
- policy-learning
- uplift
- uplift-modeling
pgmpy
A library for Probabilistic Graphical Models
- bayesian-networks
- causal-discovery
- causal-identification
- causal-inference
- inference
- python
- simulations
- structure-learning
econml
This package contains several methods for calculating Conditional Average Treatment Effects
- treatment-effect
- causal-inference
- causality
- econometrics
- economics
- machine-learning
- treatment-effects
dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions
- causality
- machine-learning
- causal-inference
- statistics
- graphical-model
- bayesian-networks
- causal-machine-learning
- causal-models
- data-science
- do-calculus
- graphical-models
- python3
- treatment-effects
