Bayesian Modeling and Probabilistic Programming in Python
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Updated
Jul 4, 2025 - Python
Bayesian Modeling and Probabilistic Programming in Python
📊 The statistical analysis tool for git repositories
Inspects Python source files and provides information about type and location of classes, methods etc
Multi-class confusion matrix library in Python
BAyesian Model-Building Interface (Bambi) in Python.
Multiple Pairwise Comparisons (Post Hoc) Tests in Python
Open-source Python library for statistical analysis of randomised control trials (A/B tests)
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
Open-source framework to detect outliers in Elasticsearch events
A library for discrete-time Markov chains analysis.
Blind/Referenceless Image Spatial QUality Evaluator (BRISQUE)
Instant stats for any fantasy football league.
PyAutoFit: Classy Probabilistic Programming
Official ID2T repository. ID2T creates labeled IT network datasets that contain user defined synthetic attacks.
Kernel Density Estimation and (re)sampling
Specifying and executing multiverse analysis
CK automation actions to let users implement portable, customizable and reusable program workflows for reproducible, collaborative and multi-objective benchmarking, optimization and SW/HW co-design:
Error propagation and statistical analysis for Monte Carlo simulations in lattice QCD and statistical mechanics using autograd.
The Microbiome Interpretable Temporal Rule Engine
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