Alternatives and similar repositories for PySensemakr:

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

• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆76Updated 11 months ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆100Updated last year
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• DoubleML / doubleml-docs
  Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
  ☆21Updated this week
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆138Updated 4 months ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆80Updated 11 months ago
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆41Updated last year
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆78Updated 9 months ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆59Updated 4 years ago
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆92Updated 2 weeks ago
• d2cml-ai / csdid
  CSDID
  ☆26Updated 3 months ago
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆65Updated 2 months ago
• pymc-devs / pymc-bart
  ☆105Updated this week
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆35Updated 5 months ago
• wd60622 / conjugate
  Bayesian Conjugate Models in Python
  ☆25Updated this week
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆42Updated 10 months ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 3 years ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆80Updated 3 months ago
• ehkennedy / npcausal
  ☆93Updated last year
• ryantibs / conformal
  Tools for conformal inference in regression
  ☆236Updated 7 months ago
• AlxndrMlk / huber-causal-analysis
  Jupyter Notebook adaptation of the code from Huber (2023) - Causal Analysis
  ☆11Updated 8 months ago
• victor5as / RieszLearning
  Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…
  ☆14Updated 2 years ago
• soerenkuenzel / causalToolbox
  ☆42Updated 3 years ago
• nppackages / scpi
  Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
  ☆32Updated last month
• 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
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated 8 months ago
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆24Updated last year
• grf-labs / sufrep
  Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1
  ☆14Updated 4 years ago
• StochasticTree / stochtree
  Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
  ☆23Updated this week