Alternatives and similar repositories for 6420-pymc

Users that are interested in 6420-pymc are comparing it to the libraries listed below

• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆115Updated last month
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆57Updated 8 months ago
• py-econometrics / jaxonometrics
  Econometrics on the GPU (and CPU) via JAX
  ☆17Updated 6 months ago
• xRiskLab / xBooster
  Explainable Boosted Scoring with Python: turning XGBoost, LightGBM, and CatBoost into explainable scorecards
  ☆49Updated last month
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆36Updated last year
• cliburn / sta-663-2021
  Computational Statistics and Statistical Computing
  ☆37Updated 4 years ago
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆46Updated this week
• jgreathouse9 / mlsynth
  This is the repository for the Python library mlsynth
  ☆56Updated last month
• jessegrabowski / statespace-presentation
  Presentation materials for PyMC Statespace
  ☆26Updated last year
• ostojanovic / causalML
  ☆34Updated last year
• matteocourthoud / Blog-Posts
  Code and notebooks for my Medium blog posts
  ☆131Updated last year
• FJRubio67 / StatisticalInference
  Lecture Notes on Statistical Inference
  ☆77Updated last year
• dazhwu / pydynpd
  This python package estimates dynamic panel data model using difference GMM and system GMM.
  ☆33Updated last month
• OVVO-Financial / NNS
  Nonlinear Nonparametric Statistics
  ☆100Updated 2 weeks ago
• mattiasvillani / BayesLearnCourse
  Bayesian Learning course at Stockholm University
  ☆157Updated last month
• aloctavodia / BAP3
  Figures and code examples from Bayesian Analysis with Python (third edition)
  ☆233Updated 5 months ago
• sn-code-inside / gaussian-process-models-for-quantitative-finance
  ☆26Updated 10 months ago
• StochasticTree / stochtree
  Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference
  ☆69Updated this week
• ChadFulton / scipy2022-bayesian-time-series
  Bayesian Estimation and Forecasting of Time Series in statsmodels, for Scipy 2022 conference
  ☆25Updated 3 years ago
• zalandoresearch / ACIC23-competition
  Data for and description of the ACIC 2023 data competition
  ☆32Updated 2 years ago
• apoorvalal / TestingInEventStudies
  tests for cohort-level heterogeneity in panel regression
  ☆11Updated 10 months ago
• ChadFulton / fulton_statsmodels_2017
  State Space Estimation of Time Series Models in Python: Statsmodels
  ☆44Updated 9 years ago
• mattiasvillani / AdvBayesLearnCourse
  Course material for the PhD course in Advanced Bayesian Learning
  ☆60Updated 11 months ago
• pymc-devs / pymc-extras
  Powerful add-ons for PyMC
  ☆132Updated this week
• msuzen / looper
  A resource list for causality in statistics, data science and physics
  ☆267Updated last week
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆86Updated last year
• resteorts / modern-bayes
  Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science
  ☆79Updated 2 months ago
• bambinos / educational-resources
  Educational resources
  ☆105Updated 4 years ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆107Updated 2 years ago
• jessegrabowski / gEconpy
  A collection of tools for working with DSGE models in python, inspired by the R package gEcon
  ☆35Updated 4 months ago