Alternatives and similar repositories for statlearn-s23:

Users that are interested in statlearn-s23 are comparing it to the libraries listed below

• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆59Updated last month
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆59Updated 4 years ago
• anishazaveri / austen_plots
  Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
  ☆26Updated 3 years ago
• ryantibs / statlearn-s24
  Course materials for Advanced Topics in Statistical Learning, Spring 2024
  ☆18Updated 4 months ago
• edfong / conformal_bayes
  Conformal Bayes with importance sampling
  ☆19Updated 3 years ago
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆43Updated last year
• kjytay / stanford-stats
  My notes from class
  ☆65Updated 6 years ago
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆43Updated 10 months ago
• tommasorigon / logisticVB
  Variational inference for Bayesian logistic regression
  ☆12Updated 5 years ago
• msesia / conditional-conformal-pvalues
  Conditional calibration of conformal p-values for outlier detection.
  ☆34Updated 2 years ago
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆30Updated last year
• alexluedtke12 / pydimple
  ☆16Updated 9 months ago
• nhejazi / haldensify
  R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
  ☆18Updated last month
• chris-nemeth / sgmcmc-review-paper
  The code in this repository follows the paper "Stochastic gradient MCMC"
  ☆26Updated 5 years ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆27Updated 2 years ago
• sachsmc / causaloptim
  An Interface to Specify Causal Graphs and Compute Balke Bounds
  ☆17Updated last month
• mattiasvillani / BayesianLearningBook
  Home for the book-in-progress 'Bayesian Learning'
  ☆28Updated this week
• jaryaman / causal-inference-cheat-sheet
  Summary of useful results in Causal Inference
  ☆21Updated 3 years ago
• JamesYang007 / adelie
  A fast and flexible Python package for efficiently solving lasso, elastic net, group lasso, and group elastic net problems.
  ☆36Updated last month
• lihualei71 / cfcausalPaper
  Paper Repository
  ☆11Updated 2 years ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆29Updated 2 years ago
• yuachen / CausalDA
  Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…
  ☆18Updated 3 years ago
• vsemenova / econ241C
  Machine Learning for Economics
  ☆19Updated last year
• ehkennedy / npcausal
  ☆93Updated last year
• williazo / mvGPS
  Tools for estimating causal effects for multivariate continuous exposures
  ☆13Updated 3 years ago
• dobriban / Topics-In-Modern-Statistical-Learning
  Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…
  ☆166Updated 10 months ago
• caus-am / jci
  Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)
  ☆16Updated 4 years ago
• christinaheinze / causality-course-ethz
  Code used in the causality course (401-4632-15) at ETH Zurich.
  ☆22Updated 5 years ago
• csquires / causal-rep-learning-reading-group
  ☆22Updated last year