Alternatives and similar repositories for PySensemakr:

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

• bernardodionisi / differences
  difference-in-differences in Python
  ☆99Updated last year
• DoubleML / doubleml-docs
  Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
  ☆21Updated this week
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆72Updated 10 months ago
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆91Updated last month
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆135Updated 3 months ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆80Updated 10 months ago
• pymc-devs / pymc-bart
  ☆102Updated this week
• d2cml-ai / csdid
  CSDID
  ☆25Updated last month
• py-econometrics / pyfixest
  Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
  ☆202Updated this week
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆39Updated last year
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 3 years ago
• wd60622 / conjugate
  Bayesian Conjugate Models in Python
  ☆25Updated last week
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆41Updated 9 months ago
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆60Updated last month
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆80Updated 2 months ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆78Updated 8 months ago
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆35Updated 4 months ago
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆96Updated this week
• PlaytikaOSS / uplift-analysis
  A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…
  ☆24Updated last year
• AlxndrMlk / causality
  Notes, exercises and other materials related to causal inference, causal discovery and causal ML.
  ☆136Updated 6 months ago
• Quantco / metalearners
  MetaLearners for CATE estimation
  ☆36Updated this week
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆59Updated 4 years ago
• ehkennedy / npcausal
  ☆93Updated last year
• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago
• AlxndrMlk / huber-causal-analysis
  Jupyter Notebook adaptation of the code from Huber (2023) - Causal Analysis
  ☆11Updated 7 months ago
• anishazaveri / austen_plots
  Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
  ☆27Updated 3 years ago
• victor5as / RieszLearning
  Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…
  ☆13Updated 2 years ago
• MLResearchAtOSRAM / cause2e
  The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).
  ☆58Updated last year
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆179Updated last year