alicepang Goto Github PK

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alicepang's Projects

gaussian_mixture_bandits

We propose a two level mixture model to exploit the similarity between arms in an online manner, where similar arms will be clusterred together to shrink the exploration space. We define a general, flexible bayesian mixture model which enables the usage of state-of-the-art bayesian upper confidence bounds. We prove an upper bound on the regret. We demonstrate that the estimation of cluster and arm parameters can be efficiently solved by a natural extension of the Expectation- Maximization algorithm. Finally, we apply our framework to both continuous and binary simulation experiments.

gcn

Implementation of Graph Convolutional Networks in TensorFlow

generative-query-network-pytorch

Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"

gf256

GF256 - Fast 8-bit Galois Field Math in C

gluon-cv

Gluon CV Toolkit

graphsage-pytorch

A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

graycode

Small Python gray code generator

graycode-three-steps-phaseshift

格雷码+三步相移法

graycodepatternseq

Generate Gray Code Pattern Seq images used in Structured light

im2avatar

image-similarity-gmm

The project checks the similarity of a query image against a set of images by calculating the KL divergence of the Gaussian mixture models of the images.

lagrit

Los Alamos Grid Toolbox (LaGriT) is a library of user callable tools that provide mesh generation, mesh optimization and dynamic mesh maintenance in two and three dimensions. LaGriT is used for a variety of geology and geophysics modeling applications including porous flow and transport model construction, finite element modeling of stress/strain in crustal fault systems, seismology, discrete fracture networks, asteroids and hydrothermal systems. The general capabilities of LaGriT can also be used outside of earth science applications and applied to nearly any system that requires a grid/mesh and initial and boundary conditions, setting of material properties and other model setup functions. It can also be use as a tool to pre- and post-process and analyze vertex and mesh based data.