zhougroup Goto Github PK
Name: zhougroup
Type: Organization
Bio: Research Group of Dr. Mingyuan Zhou
Location: UT-Austin
Name: zhougroup
Type: Organization
Bio: Research Group of Dr. Mingyuan Zhou
Location: UT-Austin
Code for ACMC, ICLR 2020
Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables
Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder and reinforcement learning. ICML 2019
Bayesian Attention Modules
Bayesian Nonparametric Differential Expression Analysis of Sequencing Count Data
CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator
Code for Critic-ARSM policy gradient algorithm
This is the official PyTorch implementation of Convex Polytope Trees
Repository for conditional transport
Matlab Code for Deep latent Dirichlet allocation with topic-layer-adaptive stochastic gradient Riemannian MCMC
Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion
The code for DirBN in NeurIPS 2018
Infinite Edge Partition Models
Yulai Cong, Bo Chen*, and Mingyuan Zhou*, Fast simulation of hyperplane-truncated multivariate normal distributions, Bayesian Analysis, Vol. 12, No. 4, pp: 1017-1037, 2017.
Matlab Code for "Frequency of frequencies distributions and size dependent exchangeable random partitions"
Gamma Belief Networks
Implicit Distributional Actor Critic
Demo code and data for the corresponding NIPS 2018 paper.
Negative Binomial Factor Analysis
Negative binomial process random count matrices and naive Bayes classifiers
Parsimonious Bayesian Deep Networks
Unsupervised diverse image generation via GANs: Partition Guided Mixture of Generative Adversarial Networks
Official Python implementation for paper: Probabilistic Conformal Prediction Using Conditional Random Samples
Official PyTorch implementation of the paper "In-Context Learning Unlocked for Diffusion Models"
A Python Library for Deep Probabilistic Models
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.