Bayesian Modeling and Probabilistic Programming in Python
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Updated
Jul 11, 2024 - Python
Bayesian Modeling and Probabilistic Programming in Python
📊 The statistical analysis tool for git repositories
Multi-class confusion matrix library in Python
BAyesian Model-Building Interface (Bambi) in Python.
Open-source Python library for statistical analysis of randomised control trials (A/B tests)
Multiple Pairwise Comparisons (Post Hoc) Tests in Python
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
Open-source framework to detect outliers in Elasticsearch events
A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.
A library for discrete-time Markov chains analysis.
Specifying and executing multiverse analysis
PyAutoFit: Classy Probabilistic Programming
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:
Kernel Density Estimation and (re)sampling
Official ID2T repository. ID2T creates labeled IT network datasets that contain user defined synthetic attacks.
Instant stats for any fantasy football league.
A web interface for exploring PyMC3 traces
Blind/Referenceless Image Spatial QUality Evaluator (BRISQUE)
The Microbiome Interpretable Temporal Rule Engine
Error propagation and statistical analysis for Markov chain Monte Carlo simulations in lattice QCD and statistical mechanics using autograd
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