Alternatives and similar repositories for shopper-src

Users that are interested in shopper-src are comparing it to the libraries listed below

• JingyuHe / XBART
  ☆93Updated last year
• Nth-iteration-labs / contextual
  Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies
  ☆81Updated 5 years ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆86Updated 5 months ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• gostevehoward / confseq
  Confidence sequences and uniform boundaries
  ☆74Updated last year
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆87Updated last year
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆72Updated 7 months ago
• soerenkuenzel / causalToolbox
  ☆44Updated 4 years ago
• crflynn / skgrf
  scikit-learn compatible Python bindings for grf (generalized random forests) C++ random forest library
  ☆34Updated 3 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 4 years ago
• timmens / causal-forest
  Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
  ☆70Updated 5 years ago
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 8 years ago
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆27Updated 2 years ago
• ehkennedy / npcausal
  ☆96Updated last year
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆154Updated 5 years ago
• swager / causalForest
  DEPRECATED. See new generalized random forest package for up-to-date implementation.
  ☆54Updated 8 years ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated last year
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆50Updated last year
• yc-ning / Bayesian-multivariate-time-series-causal-inference
  R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''
  ☆45Updated 5 years ago
• gsbDBI / ds-wgan
  Design of Simulations using WGAN
  ☆55Updated 3 years ago
• sidravi1 / Blog
  ☆24Updated 5 years ago
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆67Updated last year
• ryantibs / conformal
  Tools for conformal inference in regression
  ☆251Updated last year
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆161Updated 4 years ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆106Updated last year
• bradyneal / causal-book-code
  ☆81Updated 5 years ago
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆120Updated 4 years ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆30Updated 3 years ago
• jgabry / bayes-workflow-book
  Source files for the book "Bayesian Workflow Using Stan"
  ☆97Updated 4 years ago
• ijmbarr / causalgraphicalmodels
  Causal Graphical Models in Python
  ☆250Updated 2 years ago