Alternatives and similar repositories for treeFarms

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

• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆74Updated last year
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆126Updated last year
• sherbold / autorank
  ☆79Updated this week
• wilsonjr / ClusterShapley
  Explaining dimensionality results using SHAP values
  ☆54Updated 4 months ago
• almost-matching-exactly / DAME-FLAME-Python-Package
  A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data
  ☆57Updated last year
• Yu-Group / veridical-flow
  Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.
  ☆71Updated last year
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆81Updated 5 months ago
• interpretml / fastSparse
  ☆22Updated last year
• y0-causal-inference / y0
  ❓y0 (pronounced "why not?") is for causal inference in Python
  ☆51Updated this week
• ubc-systopia / gosdt-guesses
  Generalized Optimal Sparse Decision Trees
  ☆54Updated 2 weeks ago
• py-why / pywhy-graphs
  [Experimental] Causal graphs that are networkx-compliant for the py-why ecosystem.
  ☆56Updated this week
• charmlab / mace
  Model Agnostic Counterfactual Explanations
  ☆87Updated 2 years ago
• py-why / dodiscover
  [Experimental] Global causal discovery algorithms
  ☆101Updated this week
• interpretml / LLM-Tabular-Memorization-Checker
  Testing Language Models for Memorization of Tabular Datasets.
  ☆33Updated 3 months ago
• nathanwang000 / Shapley-Flow
  ☆50Updated last year
• 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 month
• ksanjeevan / mapper-tda
  Mapper implementation (Topological Data Analysis) in Python
  ☆65Updated 6 years ago
• blei-lab / treeffuser
  Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion …
  ☆44Updated 2 weeks ago
• andreArtelt / ceml
  CEML - Counterfactuals for Explaining Machine Learning models - A Python toolbox
  ☆44Updated last week
• aangelopoulos / conformal-risk
  Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vi…
  ☆66Updated 2 years ago
• Jimmy-Lin / GeneralizedOptimalSparseDecisionTrees
  Generalized Optimal Sparse Decision Trees
  ☆63Updated last year
• neurodata / treeple
  Scikit-learn compatible decision trees beyond those offered in scikit-learn
  ☆79Updated this week
• automl / auto-sklearn-talks
  Presentations on Auto-sklearn
  ☆24Updated last year
• corels / pycorels
  Public home of pycorels, the python binding to CORELS
  ☆80Updated 4 years ago
• scikit-learn-contrib / skdag
  A more flexible alternative to scikit-learn Pipelines
  ☆34Updated 11 months ago
• jmschrei / torchegranate
  A temporary repository hosting a pomegranate re-write using PyTorch as the backend.
  ☆72Updated 2 years ago
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆173Updated last week
• felixleopoldo / benchpress
  Scalable open-source software to run, develop, and benchmark causal discovery algorithms
  ☆69Updated last week
• tml-tuebingen / nshap
  Python package to compute interaction indices that extend the Shapley Value. AISTATS 2023.
  ☆17Updated last year
• talwagner / fair_clustering
  ☆20Updated 6 years ago