rrtucci / JudeasRx

Related projects ⓘ

Alternatives and complementary repositories for JudeasRx

• pyro-ppl / sandbox
  Pyro models and misc examples.
  ☆19Updated 3 years ago
• microsoft / AdversarialGMM
  Minimax Estimation of Conditional Moment Models
  ☆29Updated last year
• darrenjw / logreg
  Bayesian inference for a logistic regression model in various languages
  ☆43Updated last year
• evdoxiataka / ipme
  An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".
  ☆24Updated 5 months ago
• annennenne / causalDisco
  Tools for causal discovery in R
  ☆18Updated 5 months ago
• anishazaveri / austen_plots
  Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
  ☆25Updated 2 years ago
• amazon-science / azcausal
  Causal Inference in Python
  ☆38Updated 3 months ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated last year
• max-little / GRAPL
  GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference
  ☆79Updated 11 months ago
• mgorinova / autoreparam
  Automatic Reparameterisation of Probabilistic Programs
  ☆36Updated 4 years ago
• LeihuaYe / Causal-Inference-Using-Quasi-Experimental-Methods
  Causal Inference Using Quasi-Experimental Methods
  ☆20Updated 3 years ago
• pymc-devs / pymc-bart
  ☆88Updated this week
• probml / bandits
  Bayesian Bandits
  ☆66Updated last year
• vcerqueira / performance_estimation
  Performance estimation for time series forecasting tasks
  ☆36Updated 3 years ago
• lopezpaz / causation_learning_theory
  Code for "Towards a learning theory of cause-effect inference" (ICML 2015).
  ☆29Updated 4 years ago
• causalvis / causalvis
  ☆42Updated 2 months ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆48Updated 2 weeks ago
• jessegrabowski / pymc_statespace
  A system for Bayesian estimation of state space models using PyMC
  ☆32Updated last year
• ghosthamlet / ananke
  Ananke named for the Greek primordial goddess of necessity and causality, is a python package for causal inference using the language o…
  ☆13Updated 4 years ago
• jeffalstott / pystan_time_series
  Basic time series modeling with Stan and Pystan
  ☆33Updated 7 years ago
• pyro-ppl / brmp
  Bayesian Regression Models in Pyro
  ☆70Updated 3 months ago
• omarfsosa / tech-talk-hierarchical-models
  ☆37Updated 2 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆26Updated 5 years ago
• jessegrabowski / statespace-presentation
  Presentation materials for PyMC Statespace
  ☆14Updated 2 months ago
• epidemics / COVIDNPIs
  Data and code for COVID-19 NPI effectiveness estimation.
  ☆30Updated 3 years 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 5 months ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆56Updated 2 weeks ago
• rgiordan / vittles
  "Variational inference tools to leverage estimator sensitivity."
  ☆16Updated last year
• isgibbs / DtACI
  ☆14Updated 6 months ago