All Projects → pcalg-py → Similar Projects or Alternatives

35 Open source projects that are alternatives of or similar to pcalg-py

genstar
Generation of Synthetic Populations Library
Stars: ✭ 17 (-67.31%)
Mutual labels:  bayesian-network
causal-learn
Causal Discovery for Python. Translation and extension of the Tetrad Java code.
Stars: ✭ 428 (+723.08%)
Mutual labels:  causal-inference
doubleml-for-r
DoubleML - Double Machine Learning in R
Stars: ✭ 58 (+11.54%)
Mutual labels:  causal-inference
drnet
💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatments from observational data using neural networks.
Stars: ✭ 48 (-7.69%)
Mutual labels:  causal-inference
doubleml-for-py
DoubleML - Double Machine Learning in Python
Stars: ✭ 129 (+148.08%)
Mutual labels:  causal-inference
ECGClassifier
CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)
Stars: ✭ 53 (+1.92%)
Mutual labels:  bayesian-network
Causal Reading Group
We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
Stars: ✭ 339 (+551.92%)
Mutual labels:  causal-inference
Awesome-Neural-Logic
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。
Stars: ✭ 106 (+103.85%)
Mutual labels:  causal-inference
cibookex-r
Causal Inference: What If. R and Stata code for Exercises
Stars: ✭ 54 (+3.85%)
Mutual labels:  causal-inference
evalsp20.classes.andrewheiss.com
🎓 GSU MPA/MPP course on program evaluation and causal inference
Stars: ✭ 22 (-57.69%)
Mutual labels:  causal-inference
drtmle
Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
Stars: ✭ 14 (-73.08%)
Mutual labels:  causal-inference
CausalityTools.jl
Algorithms for causal inference and the detection of dynamical coupling from time series, and for approximation of the transfer operator and invariant measures.
Stars: ✭ 45 (-13.46%)
Mutual labels:  causal-inference
SyntheticControlMethods
A Python package for causal inference using Synthetic Controls
Stars: ✭ 90 (+73.08%)
Mutual labels:  causal-inference
policytree
Policy learning via doubly robust empirical welfare maximization over trees
Stars: ✭ 59 (+13.46%)
Mutual labels:  causal-inference
RECCON
This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.
Stars: ✭ 126 (+142.31%)
Mutual labels:  causal-inference
SIN
Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
Stars: ✭ 32 (-38.46%)
Mutual labels:  causal-inference
causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
Stars: ✭ 387 (+644.23%)
Mutual labels:  causal-inference
causeinfer
Machine learning based causal inference/uplift in Python
Stars: ✭ 45 (-13.46%)
Mutual labels:  causal-inference
CausalInferenceIntro
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python,适用于计量经济学、量化社会学、策略评估等领域。英文版原作者:Matheus Facure
Stars: ✭ 207 (+298.08%)
Mutual labels:  causal-inference
perfect match
➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.
Stars: ✭ 100 (+92.31%)
Mutual labels:  causal-inference
causalnlp
CausalNLP is a practical toolkit for causal inference with text as treatment, outcome, or "controlled-for" variable.
Stars: ✭ 98 (+88.46%)
Mutual labels:  causal-inference
cfvqa
[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias
Stars: ✭ 96 (+84.62%)
Mutual labels:  causal-inference
tlverse-handbook
🎯 📕 Targeted Learning in R: A Causal Data Science Handbook
Stars: ✭ 50 (-3.85%)
Mutual labels:  causal-inference
NNet
algorithm for study: multi-layer-perceptron, cluster-graph, cnn, rnn, restricted boltzmann machine, bayesian network
Stars: ✭ 24 (-53.85%)
Mutual labels:  bayesian-network
cfml tools
My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable and useful in the business context
Stars: ✭ 24 (-53.85%)
Mutual labels:  causal-inference
LGNpy
Linear Gaussian Bayesian Networks - Inference, Parameter Learning and Representation. 🖧
Stars: ✭ 25 (-51.92%)
Mutual labels:  bayesian-network
findr
Fast Inference of Networks from Directed Regulations
Stars: ✭ 19 (-63.46%)
Mutual labels:  bayesian-network
Coz
Coz: Causal Profiling
Stars: ✭ 2,719 (+5128.85%)
Mutual labels:  causal-inference
Causalml
Uplift modeling and causal inference with machine learning algorithms
Stars: ✭ 2,499 (+4705.77%)
Mutual labels:  causal-inference
Pgmpy
Python Library for learning (Structure and Parameter) and inference (Probabilistic and Causal) in Bayesian Networks.
Stars: ✭ 1,942 (+3634.62%)
Mutual labels:  causal-inference
Dowhy
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.
Stars: ✭ 3,480 (+6592.31%)
Mutual labels:  causal-inference
causaldag
Python package for the creation, manipulation, and learning of Causal DAGs
Stars: ✭ 82 (+57.69%)
Mutual labels:  causal-inference
cobalt
Covariate Balance Tables and Plots - An R package for assessing covariate balance
Stars: ✭ 52 (+0%)
Mutual labels:  causal-inference
Python-for-Epidemiologists
Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3
Stars: ✭ 107 (+105.77%)
Mutual labels:  causal-inference
CIKM18-LCVA
Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.
Stars: ✭ 13 (-75%)
Mutual labels:  causal-inference
1-35 of 35 similar projects