Alternatives and similar repositories for confseq

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

• ryantibs / conformal
  Tools for conformal inference in regression
  ☆249Updated last year
• JingyuHe / XBART
  ☆92Updated 10 months ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 5 months ago
• lee-group-cmu / RFCDE
  Random Forests for Conditional Density Estimation
  ☆43Updated 4 years ago
• franrruiz / shopper-src
  Code for Shopper, a probabilistic model of shopping baskets
  ☆52Updated 5 years ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated last year
• StochasticTree / stochtree
  Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
  ☆59Updated this week
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆45Updated 2 years ago
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 8 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆73Updated last year
• erik-giertz / mixtureSPRT
  Package for mixture sequential probability ratio test
  ☆21Updated 2 years ago
• bambinos / educational-resources
  Educational resources
  ☆104Updated 3 years ago
• jakorostami / expectation
  Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.
  ☆67Updated last week
• ryantibs / best-subset
  Comparisons between best subset selection and other popular sparse regression estimators
  ☆88Updated 2 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆48Updated last year
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 4 years ago
• nredell / shapFlex
  An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model
  ☆74Updated 5 years ago
• stan-dev / posteriordb
  Database with posteriors of interest for Bayesian inference
  ☆210Updated 2 months ago
• williambdean / conjugate
  Bayesian Conjugate Models in Python
  ☆32Updated last week
• bradyneal / causal-book-code
  ☆81Updated 5 years ago
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆148Updated 2 years ago
• inovex / justcause
  💊 Comparing causality methods in a fair and just way.
  ☆140Updated 5 years ago
• ehkennedy / npcausal
  ☆95Updated last year
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆83Updated 10 months ago
• pymc-devs / pymc-bart
  ☆125Updated this week
• Jimmy-Lin / GeneralizedOptimalSparseDecisionTrees
  Generalized Optimal Sparse Decision Trees
  ☆68Updated last year
• JakeColtman / bartpy
  Bayesian Additive Regression Trees For Python
  ☆232Updated last year
• py-why / causaltune
  AutoML for causal inference.
  ☆232Updated 10 months ago
• Yu-Group / veridical-flow
  Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.
  ☆71Updated last year