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BooksGenAI

jupyterlab-desktop

JupyterLab desktop application, based on Electron.

shapash

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

awesome-mlops

A curated list of references for MLOps

eiten

Statistical and Algorithmic Investing Strategies for Everyone

deequ

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

umap

Uniform Manifold Approximation and Projection

NestedCategBayesImpute

:exclamation: This is a read-only mirror of the CRAN R package repository. NestedCategBayesImpute — Modeling, Imputing and Generating Synthetic Versions of Nested Categorical Data in the Presence of Impossible Combinations

mcclust.ext

This is an extension of the mcclust package. It provides post-processing tools for MCMC samples of partitions to summarize the posterior in Bayesian clustering models. Functions for point estimation are provided, giving a single representative clustering of the posterior. And, to characterize uncertainty in the point estimate, credible balls can be computed.

dirichletprocess

Build dirichletprocess objects for data analysis

dirichlet-process

Introduction to Nonparametric Bayes, Infinite Mixture Models, and the Dirichlet Process (+ McDonald's)

bnpy

Bayesian nonparametric machine learning for Python

dirichlet-process-demo

Visualizing clustering with Dirichlet processes

DPMMSubClusters.jl

Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)

iir

Machine Learning / Natural Language Processing / Information Retrieval

pydpmm

Direct Gibbs sampling for DPMM using python.

hdp

R pkg for Hierarchical Dirichlet Process

HDP

Python code for HDP(Hierarchical Dirichlet Process) using Direct Assignment

online-hdp

Online inference for the Hierarchical Dirichlet Process. Fits hierarchical Dirichlet process topic models to massive data. The algorithm determines the number of topics.

rbox

dython

A set of data tools in Python

data_fusion

Code for the examples in the Feit and Bradlow chapter on Fusion Modeling in the Handbook of Marketing Research.

libcluster

An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.

hdbscan

A high performance implementation of HDBSCAN clustering.

example-models

Example models for Stan

clusternomics

Integrative clustering for heterogeneous biomedical datasets.

Multi-Omics-Cancer-Benchmark

stanity

python convenience functions for working with Stan models (via pystan)

arviz

Exploratory analysis of Bayesian models with Python

An-Introduction-to-Bayesian-Inference-in-PyStan

Code for blog post on Bayesian inference in PyStan