thjashin Goto Github PK

996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

adversarialvariationalbayes

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

aistats2022

March 28-30, Virtual Conference

aistats2023

April 25-27, Valencia, Spain

bda-exercises

My answer and codes for some exercises in Bayesian Data Analysis (3rd Ed), in IPython Notebook format

bm

A toy Boltzmann Machine

dip

MSR-Bing: ACM MM14 Grand Challenge

double-cv

Double Control Variates for Gradient Estimation in Discrete Latent Variable Models

gp-infer-net

Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019

gpflow-slim

customized GPflow with simple Tensorflow API

gpflowsampling

Code for efficiently sampling functions from GP(flow) posteriors

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

hmm

A Toy implementation of Hidden Markov Model (HMM)

infot

Some exercises of information theory.

just-the-docs

A modern, high customizable, responsive Jekyll theme for documention with built-in search.

kblearn

Build a Concept Learner from Large-Scale Knowledge Base

mallet

mirror-stein-samplers

Sampling with Mirrored Stein Operators

multires-conv

Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)

parmesan

Variational and semi-supervised neural network toppings for Lasagne

rodeo

Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)

solvegp

Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)

spectral-stein-grad

Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)

state-spaces

Sequence Modeling with Structured State Spaces

tensorflow

Computation using data flow graphs for scalable machine learning

thjashin.github.io

us-ip-locator

US IP Locator

yahoo_lda

Yahoo!'s topic modelling framework using Latent Dirichlet Allocation

zhusuan

A Library for Bayesian Deep Learning, Generative Models