Alternatives and similar repositories for statlearn-s24

Users that are interested in statlearn-s24 are comparing it to the libraries listed below

• dobriban / Principles-of-AI-LLMs
  Materials for the course Principles of AI: LLMs at UPenn (Stat 9911, Spring 2025). LLM architectures, training paradigms (pre- and post-t…
  ☆33Updated this week
• ryantibs / statlearn-s23
  Course materials for Advanced Topics in Statistical Learning, Spring 2023
  ☆46Updated this week
• ryantibs / conformal
  Tools for conformal inference in regression
  ☆243Updated 9 months ago
• lihualei71 / cfcausalPaper
  Paper Repository
  ☆11Updated 2 years ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆60Updated 3 months ago
• ehkennedy / npcausal
  ☆95Updated last year
• vveitch / causality-tutorials
  Short tutorials on the use of machine learning methods for causal inference
  ☆49Updated 2 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
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• jaredsmurray / bcf
  Bayesian Causal Forests
  ☆45Updated last year
• lorismichel / drf
  Distributional Random Forests (Cevid et al., 2020)
  ☆43Updated last year
• alexluedtke12 / pydimple
  ☆19Updated 11 months ago
• AlaaLab / conformal-metalearners
  [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"
  ☆44Updated last year
• gsbDBI / ds-wgan
  Design of Simulations using WGAN
  ☆50Updated 2 years ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 3 weeks ago
• vdorie / npci
  Non-parametrics for Causal Inference
  ☆47Updated 3 years ago
• cliburn / sta-663-2021
  Computational Statistics and Statistical Computing
  ☆37Updated 4 years ago
• jhuggins / viabel
  Efficient, lightweight variational inference and approximation bounds
  ☆43Updated last year
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆81Updated 5 months ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆62Updated 4 years ago
• franrruiz / shopper-src
  Code for Shopper, a probabilistic model of shopping baskets
  ☆52Updated 4 years ago
• vsemenova / econ241C
  Machine Learning for Economics
  ☆18Updated 2 years ago
• freshtaste / CausalModel
  CausalModel implements widely used casual inference methods as well as an interference based method proposed by our paper.
  ☆16Updated last year
• CausalInference / pygformula
  The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…
  ☆29Updated 2 months ago
• bradyneal / realcause
  Realistic benchmark for different causal inference methods. The realism comes from fitting generative models to data with an assumed caus…
  ☆75Updated 4 years ago
• socket778 / XBCF
  R and python implementations of Accelerated Bayesian Causal Forest.
  ☆25Updated 11 months ago
• vdorie / aciccomp
  Code to run submissions for the Atlantic Causal Inference Competition
  ☆42Updated 9 months ago
• abhiagwl / vistan
  A simple library to run variational inference on Stan models.
  ☆32Updated 2 years ago
• pierrejacob / unbiasedmcmc
  Unbiased Markov chain Monte Carlo with couplings
  ☆29Updated 2 years ago
• csquires / 6.S091-causality
  ☆185Updated 2 years ago