Alternatives and similar repositories for treeple

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

• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆102Updated 2 weeks ago
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆173Updated last week
• pymc-devs / pymc-bart
  ☆112Updated last week
• yaglm / yaglm
  A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…
  ☆58Updated 2 years ago
• soda-inria / carte
  Repository for CARTE: Context-Aware Representation of Table Entries
  ☆127Updated 2 months ago
• Califrais / flash
  A generalized joint model for high-dimensional multivariate longitudinal data and censored durations
  ☆11Updated 8 months ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆74Updated last year
• hyosubkim / bayes-toolbox
  bayes-toolbox
  ☆92Updated this week
• scikit-adaptation / skada
  Domain adaptation toolbox compatible with scikit-learn and pytorch
  ☆122Updated last week
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆102Updated this week
• interpretml / FasterRisk
  Create sparse and accurate risk scoring systems!
  ☆37Updated 10 months ago
• vnmabus / dcor
  Distance correlation and related E-statistics in Python
  ☆149Updated 9 months ago
• DynamicsAndNeuralSystems / pyspi
  Comparative analysis of pairwise interactions in multivariate time series.
  ☆224Updated last month
• Yu-Group / veridical-flow
  Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.
  ☆71Updated last year
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆163Updated 8 months ago
• bambinos / formulae
  Formulas for mixed-effects models in Python
  ☆59Updated 4 months ago
• py-why / pywhy-stats
  Python package for (conditional) independence testing and statistical functions related to causality.
  ☆28Updated 5 months ago
• darya-chyzhyk / confound_prediction
  Confound-isolating cross-validation approach to control for a confounding effect in a predictive model.
  ☆40Updated 5 years ago
• soda-inria / caussim
  Simulations for predictive model selection in causal inference
  ☆13Updated 4 months ago
• neurodata / ProgLearn
  NeuroData's package for exploring and using progressive learning algorithms
  ☆36Updated 2 months ago
• pymc-devs / nutpie
  Python wrapper for nuts-rs
  ☆148Updated this week
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated last year
• DynamicsAndNeuralSystems / pycatch22
  python implementation of catch22
  ☆83Updated 9 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
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆65Updated 2 weeks ago
• jdtuck / fdasrsf_python
  elastic fda python code
  ☆53Updated 2 weeks ago
• HelmholtzAI-Consultants-Munich / PySDDR
  A python package for semi-structured deep distributional regression
  ☆22Updated 2 years ago
• soda-inria / tabicl
  Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
  ☆72Updated 2 weeks ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆50Updated 2 months ago
• neurodata / nd_ed
  Collection of educational resources. Primarily focused on skills that are helpful in the NeuroData lab or the Neuro Data Design course at…
  ☆9Updated 2 years ago