Implementation of "Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image"

Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks

Implementation of Switch Transformers from the paper: "Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity"

PiKV: KV Cache Management System for Mixture of Experts [Efficient ML System]

Bayesian inference for Gaussian mixture model with some novel algorithms

PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.

Python (pip) package for fitting mixtures of Student's t-distributions using either maximum likelihood (EM) or Bayesian methodology (variational mean-field)

A Fast and Simplified Python Library for Uncertainty Estimation

A friendly Python library for multistate analysis with MICS and MBAR

Plackett-Luce Regression Mixture Model

A library for efficient uncovering of latent cluster labels in functional data from Gaussian process mixtures.

Python, MATLAB, and JAGS code associated with the preprint, "Beyond rates: Time-varying dynamics of high frequency oscillations as a biomarker of the seizure onset zone." (2021)

CSE 601 Data mining and bioinformatics

Unsupervised machine learning methods that you will need, and not find elsewhere.

PyPI package for complex-valued mixture of factor analyzers with a scikit-learn-style API.

MachineLearning

This program provides a look into the application of neural networks to predict the mass excess for nuclei which have yet to be experimentally measured.

Inflated Discrete Choice Models