Tutorial on Bayesian tests for Machine Learning
☆83Dec 8, 2020Updated 5 years ago
Alternatives and similar repositories for tutorial
Users that are interested in tutorial are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆80Apr 22, 2024Updated 2 years ago
- R package for Non Parametric and Bayesian Statistical Tests☆11Apr 12, 2022Updated 4 years ago
- Repositorio para el código y recursos de las prácticas de la asignatura "Bases de Datos", del Grado en Ingeniería de la Salud de la UBU.☆39Updated this week
- Stability Selection with Error Control☆27Jan 30, 2026Updated 9 months ago
- Official Microsoft GitHub Repository containing code samples for SQL Server☆16Jul 20, 2017Updated 9 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.
- Run delayed and risky choice (DARC) experiments using Bayesian Adaptive Design☆10Sep 12, 2019Updated 7 years ago
- Examples of working and non-working models, initially for ODCS 2016 in Boston.☆11May 26, 2016Updated 10 years ago
- Artificial Intelligence's lectures for Computer Engineering course, UTFPR - Apucarana☆10Apr 2, 2026Updated 7 months ago
- Code for Fast Information-theoretic Bayesian Optimisation☆16Jun 7, 2018Updated 8 years ago
- ☆26Jan 28, 2018Updated 8 years ago
- Fitting Gaussian process models in PyMC3: Bayesian Mixer London 2017 seminar☆10May 7, 2018Updated 8 years ago
- Flexible Mixed Integer Evolutionary Strategies☆16Sep 28, 2026Updated last month
- A web app for your finances☆12May 24, 2020Updated 6 years ago
- R Package: Simple Toolkit in R for ANomaly Get, Explain and Report☆11Oct 8, 2022Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆36Dec 17, 2019Updated 6 years ago
- R Package for Hierarchical Regularized Regression to Incorporate External Data☆10Dec 17, 2025Updated 10 months ago
- ☆42Oct 24, 2020Updated 6 years ago
- equation discovery based on generative models☆22Apr 10, 2025Updated last year
- Helpers for parameters in black-box optimization, tuning and machine learning.☆26Dec 22, 2024Updated last year
- Illustration of counterfactual inference following Ferenc Huszar example☆13Aug 15, 2025Updated last year
- R package for data preprocessing☆13Dec 18, 2019Updated 6 years ago
- Bayesian statistics seminars☆27Oct 19, 2026Updated 2 weeks ago
- The holdout randomization test: feature selection using black box predictive models☆22Mar 19, 2021Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- An attempt to formalize my thoughts. A pythonic approach to mental housekeeping☆15Apr 21, 2016Updated 10 years ago
- A library for calibrating classifiers and computing calibration metrics☆14Nov 28, 2022Updated 3 years ago
- Composable Preprocessing Operators for MLR☆36Jun 17, 2025Updated last year
- A python library to discover and mitigate biases in machine learning models and datasets☆20Jul 6, 2023Updated 3 years ago
- Bayesian model averaging of an objective function over a model class using advanced MCMC techniques.☆16Jan 9, 2015Updated 11 years ago
- Track machine learning experiments☆19Aug 2, 2023Updated 3 years ago
- MLSS 2016 material.☆22May 20, 2016Updated 10 years ago
- Official implementation of "TabEBM: A Tabular Data Augmentation Method with Class-Specific Energy-Based Models", NeurIPS 2024☆26Aug 19, 2025Updated last year
- General Relativity massively parallel raytracer - a free software alternative☆38Apr 23, 2017Updated 9 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- R package for Empirical Bayes Factor Analysis.☆55Dec 4, 2024Updated last year
- Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).☆21Apr 12, 2026Updated 6 months ago
- A reliable leaderboard algorithm for machine learning competitions☆17May 19, 2015Updated 11 years ago
- A survey of tools that make EDA more automated.☆20Jul 23, 2020Updated 6 years ago
- Visual tools to help machine learning model selection☆15Jun 11, 2021Updated 5 years ago
- ☆20Mar 8, 2024Updated 2 years ago
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36May 14, 2018Updated 8 years ago