Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)

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

Binomial distribution cumulative distribution function (CDF).

Laplace distribution quantile function.

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.

Laplace distribution variance.

Laplace distribution differential entropy.

Weibull distribution quantile function.

Laplace distribution mode.

Laplace distribution skewness.

Laplace distribution logarithm of cumulative distribution function (CDF).

Laplace distribution standard deviation.

Binomial distribution entropy.