Collecting research materials on energy/entropy based models

Code accompanying our papers on the "Generative Distributional Control" framework

KFAS: R Package for Exponential Family State Space Models

Network inference by fusing data from diverse distributions

A Julia package for exponential family principal component analysis (EPCA).

barry: Your go-to motif accountant

Coordinate Ascent Variational Inference for Dirichlet Process Mixtures of Gaussians

A package to handle Exponential Family distributions

Implementation of Collective Matrix Completion by Mokhtar Z. Alaya and Olga Klopp https://arxiv.org/abs/1807.09010

Comprehensive notes and solved problem sets from Casella-Berger: Statistical Inference (Chapters 1-5), covering foundational concepts in probability and distribution theory. Topics include random variables, probability distributions, expectation, and limit theorems, essential for applications in machine learning, AI, and robotics.

Binomial distribution cumulative distribution function (CDF).

Laplace distribution variance.

Laplace distribution quantile function.

Weibull distribution quantile function.

Laplace distribution differential entropy.

Laplace distribution logarithm of cumulative distribution function (CDF).

Rayleigh distribution cumulative distribution function (CDF).

Lévy distribution logarithm of cumulative distribution function (CDF).

Laplace distribution mode.

Laplace distribution standard deviation.

Binomial distribution entropy.

Binomial distribution quantile function.

Laplace distribution cumulative distribution function (CDF).

Rayleigh distribution probability density function (PDF).

Weibull distribution probability density function (PDF).

Laplace distribution skewness.

Weibull distribution cumulative distribution function (CDF).

Rayleigh distribution logarithm of probability density function (PDF).

Laplace distribution logarithm of probability density function (PDF).

Weibull distribution logarithm of cumulative distribution function (CDF).