Unstructured Code with interesting analysis
☆36Oct 17, 2024Updated last year
Alternatives and similar repositories for exploratory-notebooks
Users that are interested in exploratory-notebooks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code to replicate the simulation study in the paper "Calibrating doubly-robust estimators with unbalanced treatment assignment"☆15May 20, 2024Updated last year
- Synthetic difference in differences for Python☆87Apr 4, 2024Updated 2 years ago
- Materials for conference talks and workshops☆32Sep 8, 2025Updated 7 months ago
- This material has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI …☆18May 5, 2023Updated 2 years ago
- Active Statistics book web page☆12Jan 3, 2025Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- A simple multicohort LTV calculator for subscriptions☆11Mar 7, 2023Updated 3 years ago
- fast synthetic control estimators for panel data problems☆23Mar 22, 2026Updated last month
- difference-in-differences in Python☆110Apr 12, 2026Updated 3 weeks ago
- Estimation in Difference-in-Difference (DID) designs with multiple groups and periods.☆16Oct 28, 2024Updated last year
- tests for cohort-level heterogeneity in panel regression☆11Mar 12, 2025Updated last year
- A Beginner's Guide to State Space Modeling☆30Nov 25, 2025Updated 5 months ago
- ☆18Apr 27, 2018Updated 8 years ago
- My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable an…☆32Dec 26, 2022Updated 3 years ago
- ☆16Jun 24, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Econometrics on the GPU (and CPU) via JAX☆16Jul 12, 2025Updated 9 months ago
- Code and data to reproduce the transfer of a learned posterior on one time series as a new prior on a related time series to model yearly…☆15Jun 16, 2019Updated 6 years ago
- Particle Gibbs sampler for Bayesian additive regression trees (BART) in Rust.☆14Updated this week
- Statistical Tools for Causal Inference☆42Mar 21, 2025Updated last year
- Replication code for "Log with zeros? Some problems and solutions"☆14Jun 10, 2024Updated last year
- This project introduces Causal AI and how it can drive business value.☆56Sep 6, 2024Updated last year
- Causal Inference II Mixtape Session taught by Scott Cunningham☆227Nov 23, 2025Updated 5 months ago
- A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)☆36Mar 1, 2025Updated last year
- ☆10Dec 17, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Numpyro examples in Python notebooks☆11Sep 7, 2020Updated 5 years ago
- Evaluation of early stopping algorithms in A/B testing☆17Jun 12, 2017Updated 8 years ago
- ☆18Jun 27, 2024Updated last year
- Regression Discontinuity Mixtape Track taught by Rocio Titiunik☆57Dec 19, 2024Updated last year
- Tutorial on time-series forcasting with scikit-learn☆33Mar 14, 2023Updated 3 years ago
- ☆30Apr 2, 2026Updated last month
- Code and notebooks for my Medium blog posts☆132Mar 17, 2024Updated 2 years ago
- Website: Data Umbrella & PyMC open source sessions☆26Oct 28, 2025Updated 6 months ago
- Unofficial solutions to Munkres Topology☆15Jun 29, 2022Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Difference-in-Differences☆42May 18, 2022Updated 3 years ago
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆162Mar 2, 2026Updated 2 months ago
- This Jupyterbook has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and …☆14May 5, 2023Updated 2 years ago
- Causal Inference in Observational Data with Unobserved Heterogeneity (Lecture Notes. Masters/PhD-level)☆40Feb 10, 2026Updated 2 months ago
- A curated list of causal inference libraries, resources, and applications.☆1,139Apr 21, 2026Updated last week
- A Beginner's Guide to Variational Inference☆18Apr 19, 2025Updated last year
- Porting an OpenBUGS/MATLAB-based Bayesian statistics course to Python/PyMC.☆34Apr 8, 2026Updated 3 weeks ago