A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods.

A toolbox for inference of mixture models

This project contains the code for the paper accepted at NeurIPS 2020 - Robust Meta-learning for Mixed Linear Regression with Small Batches.

A Python package for computing NPMLE of mixture of regression

Code supplement for "Unsupervised multimodal modeling of cognitive and brain health trajectories for early dementia prediction"

News Article Clustering Using Unsupervised Machine Learning Algorithms

Spring 2021 Machine Learning (CS 181) Homework 5

Mixture regression models for NumPyro.

Grog Mixture-Of-Agents (MoA) is a sophisticated chatbot framework that integrates multiple open-source models to deliver high-quality responses. It features a user-friendly web-based GUI, supports persistent chats, and allows topic management for seamless and organized interactions.