Lightweight package for sharing tensor-algebra definitions

The open source version of book `Julia Programming Basics`

Sarasa Gothic / 更纱黑体 / 更紗黑體 / 更紗ゴシック / 사라사 고딕

Multiclass classification based on stochastic dual coordinate ascent

Bayesian inference with Wolfram Mathematica

A general-purpose probabilistic programming system with programmable inference

Infer.NET is a framework for running Bayesian inference in graphical models

physics meets neural networks

GFWList Mode

Bayes Net Toolbox for Matlab

In this project, we study variational methods for inference. We consider the Ising model on a grid. We then compare it with the following methods: Gibbs sampling, blocked Gibbs sampling, Loopy beli…

Code for AISTATS 2017 paper on "Conjugate-Computation Variational Inference"

Proximal Gradient Stochastic Variational Inference Based on UAI-2016 paper by Khan, Babanezhad, Lin, Schmidt, and Sugiyama

NumPy & SciPy for GPU

Algorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.

A Julia package for variational Bayesian topic modeling.

Bayesian Networks for Julia

BayesianNonparametrics in julia

code for stochastic expectation propagation

expectation propagation for multivariate gaussian probabilities

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

a tensorflow implementation of WGAN

The most cited deep learning papers

a fork of the densecrf package implementing alternative inference scheme

A list of all named GANs!

An SKI Combinator Calculus Interpreter