Alternatives and similar repositories for DAME-FLAME-Python-Package:

Users that are interested in DAME-FLAME-Python-Package are comparing it to the libraries listed below

• interpretml / FasterRisk
  Create sparse and accurate risk scoring systems!
  ☆35Updated 6 months ago
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆80Updated 2 months 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
• 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
• dandls / moc
  Multi-Objective Counterfactuals
  ☆41Updated 2 years ago
• Ashkan-Soleymani98 / CORTH-Features-Causal-Feature-Selection-via-Orthogonal-Search
  ☆11Updated 2 years ago
• almost-matching-exactly / MALTS
  ☆15Updated 7 months ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆71Updated 3 years ago
• annennenne / causalDisco
  Tools for causal discovery in R
  ☆18Updated last week
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆49Updated 2 months ago
• Yu-Group / veridical-flow
  Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.
  ☆70Updated last year
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆26Updated last month
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆42Updated last year
• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆74Updated 4 years ago
• interpretml / fastSparse
  ☆22Updated last year
• AlxndrMlk / blogs-code
  Code for blog posts.
  ☆19Updated last year
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• yaronshap / GloballyConsistentRules
  Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…
  ☆24Updated 2 years ago
• y0-causal-inference / y0
  ❓y0 (pronounced "why not?") is for causal inference in Python
  ☆47Updated last week
• ubc-systopia / gosdt-guesses
  Generalized Optimal Sparse Decision Trees
  ☆52Updated this week
• adriennekline / psmpy
  propensity score matching in python
  ☆53Updated 2 years ago
• soda-inria / caussim
  Simulations for predictive model selection in causal inference
  ☆13Updated last month
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆97Updated last week
• causalvis / causalvis
  ☆42Updated 5 months ago
• sweichwald / tidybench
  TIme series DiscoverY BENCHmark (tidybench)
  ☆37Updated 11 months ago
• vdorie / npci
  Non-parametrics for Causal Inference
  ☆43Updated 2 years ago
• discdiver / causal-inference-python-packages
  List of python packages for causal inference
  ☆17Updated 3 years ago
• amazon-science / azcausal
  Causal Inference in Python
  ☆40Updated last month
• Jimmy-Lin / GeneralizedOptimalSparseDecisionTrees
  Generalized Optimal Sparse Decision Trees
  ☆62Updated 10 months ago
• amzn / credence-to-causal-estimation
  A framework for generating complex and realistic datasets for use in evaluating causal inference methods.
  ☆30Updated 3 years ago