Open Source Libs
Find Open Source Packages
Open Source Libraries
👉
Causality
37 Open Source Causality Software Projects
Free and open source causality code projects including engines, APIs, generators, and tools.
Econml
971 ⭐
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Itamarst Eliot
822 ⭐
Eliot: the logging system that tells you *why* it happened
Awesome Causality Algorithms
814 ⭐
An index of algorithms for learning causality with data
Causaldiscoverytoolbox
343 ⭐
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Pyphi
232 ⭐
A toolbox for integrated information theory.
Python Causality Handbook
268 ⭐
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.
Cause
193 ⭐
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
Tcdf
169 ⭐
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
Causallift
135 ⭐
CausalLift: Causality-based Uplift Modeling in real-world business
Scikit Uplift
126 ⭐
:exclamation: uplift modeling in scikit-learn style in python :snake:
Iap Cidl
72 ⭐
Causal Inference & Deep Learning, MIT IAP 2018
Invariant Risk Minimization
49 ⭐
Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893
Diviyan Kalainathan Sam
31 ⭐
Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
Causaldag
30 ⭐
Python package for the creation, manipulation, and learning of Causal DAGs
Rdd
24 ⭐
Python tools for regression discontinuity designs
Robustdg
29 ⭐
Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
Causal Deconvolution Of Networks
20 ⭐
Causal Deconvolution of Networks by Algorithmic Generative Models
Cauder
19 ⭐
A causal-consistent debugger for Erlang
Scribe Py
20 ⭐
Regulatory networks with Direct Information in python
Awesome Neural Logic
17 ⭐
Awesome Neural Logic and Causality: MLN, NLRL, NLM, etc. 因果推断，神经逻辑，强人工智能逻辑推理前沿领域。
Invariantcausal.jl
16 ⭐
Causal Inference with Invariant Prediction
Online Causal Models
15 ⭐
Accompanying code for the paper "Learning Causal Models Online"
Toybox Rs Toybox
18 ⭐
The Machine Learning Toybox for testing the behavior of autonomous agents.
Icassp2019_tcn
13 ⭐
Improved sEMG-based gesture recognition
Msuzen Looper
17 ⭐
A resource list for causality in statistics, data science and physics
Overview_causal_inference
10 ⭐
A Brief Overview of Causal Inference (xaringan presentation)
Causeinfer
14 ⭐
Machine learning based causal inference/uplift in Python
Eso And Ceo
10 ⭐
Events and Situations Ontology
Causal Inference
10 ⭐
Materials Collection for Causal Inference
Dowhy
2305 ⭐
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Shapflex
14 ⭐
An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
Cfml_tools
10 ⭐
Counterfactual Machine Learning Tools
Pearl Primer
10 ⭐
Notes for Judea Pearl et al., *Causal Inference in Statistics, a Primer*
C2po
10 ⭐
Automated Storytelling via Causal, Commonsense Plot Ordering
Null
31 ⭐
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Awesome Causal Inference
13 ⭐
A (concise) curated list of awesome Causal Inference resources.
Null
10 ⭐
Implementation of the EMNLP 2020 paper "Counterfactual Generator: A Weakly-Supervised Method for Named Entity Recognition".