ucdavis / FairMLCourseLinks
Course materials for the topic of fairness in machine learning algorithms.
☆18Updated 2 years ago
Alternatives and similar repositories for FairMLCourse
Users that are interested in FairMLCourse are comparing it to the libraries listed below
Sorting:
- Slides for the RSS International Conference 2023 workshop on data visualisation.☆10Updated last year
- The "Hidden Curriculum" assignment from UT Austin's Masters Causal Inference course, Spring 2022.☆11Updated 3 years ago
- ☆10Updated last year
- A statistical and graphical toolkit for analyzing data for possible patterns of discrimination (racial, gender, age, etc.)☆16Updated this week
- Chinese Restaurant Process Models for Regression and Clustering. Master branch contains latest stable build.☆12Updated 4 years ago
- ☆10Updated 5 years ago
- Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2022. Taught by Ed Rubin.☆12Updated 3 years ago
- Survival modelling via ODEs☆10Updated 5 months ago
- Introductory R training☆22Updated 5 months ago
- SimPaths is an open-source microsimulation framework for life course analysis, developed and maintained by CeMPA at the University of Ess…☆12Updated this week
- ☆10Updated 11 months ago
- An R package to help assess the sensitivity of a Bayesian model (fitted with Stan) to the specification of its likelihood and priors☆10Updated 4 months ago
- Bayesian Modelling in Epidemiology Case Line Lists☆14Updated last year
- ☆18Updated 2 years ago
- An introduction to GAM(M)s☆11Updated 2 years ago
- This is the repository for the Literate Programming Workshop☆39Updated last year
- Longitudinal Mediation with Modified Treatment Policies☆12Updated 3 months ago
- Short course on parametric survival analysis☆15Updated 9 months ago
- Source code for EDAV Fall 2019 community contribution bookdown book:☆13Updated 4 years ago
- Workshop Materials "Advanced Bayesian Statistical Modeling in R and Stan "☆12Updated last year
- ☆13Updated last year
- ☆12Updated 9 months ago
- Survival Extrapolation With a Flexible Parametric Model and External Data☆12Updated 2 months ago
- Machine Learning, 7.5 credits, a course that I have previously given at Department of Statistics at Stockholm University.☆17Updated last year
- Causal-inference oriented doctoral econometrics course at UO☆14Updated 3 years ago
- Tools for building predictive models in epidemiology.☆14Updated last month
- My notes and work for the Bayesian Data Analysis course taught by Aki Vehtari.☆16Updated 2 years ago
- An R package for performing patient level prediction using deep learning in an observational database in the OMOP Common Data Model.☆14Updated this week
- Source code of Statistical Computing 2 website☆12Updated 2 years ago
- Discrete Event Simulation in RSimmer of Ambulance Job Cycle Times☆13Updated last year