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acmc_iclr

Code for ACMC, ICLR 2020

arm-gradient

Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)

arms

ARMS: Antithetic-REINFORCE-Multi-Sample Gradient for Binary Variables

arsm

Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder and reinforcement learning. ICML 2019

bam

Bayesian Attention Modules

bnpseq

Bayesian Nonparametric Differential Expression Analysis of Sequencing Count Data

carms

CARMS: Categorical-Antithetic-REINFORCE Multi-Sample Gradient Estimator

carsm

Code for Critic-ARSM policy gradient algorithm

contextual_dropout_release

convex_polytope_trees

This is the official PyTorch implementation of Convex Polytope Trees

ct-pytorch

Repository for conditional transport

deeplda_tlasgr_mcmc

Matlab Code for Deep latent Dirichlet allocation with topic-layer-adaptive stochastic gradient Riemannian MCMC

diffusion-gan

Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion

diffusion-policies-for-offline-rl

dirbn

The code for DirBN in NeurIPS 2018

epm

Infinite Edge Partition Models

fast-simulation-of-hyperplane-truncated-multivariate-normal-distribution

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.

fof_eppf

Matlab Code for "Frequency of frequencies distributions and size dependent exchangeable random partitions"

gbn

Gamma Belief Networks

idac

Implicit Distributional Actor Critic

lomax-delegate-racing-for-survival-analysis-with-competing-risks

Demo code and data for the corresponding NIPS 2018 paper.

nbfa

Negative Binomial Factor Analysis

nbp_random_count_matrices

Negative binomial process random count matrices and naive Bayes classifiers

patch-diffusion

pbdn

Parsimonious Bayesian Deep Networks

pgmgan

Unsupervised diverse image generation via GANs: Partition Guided Mixture of Generative Adversarial Networks

probabilistic-conformal-prediction

Official Python implementation for paper: Probabilistic Conformal Prediction Using Conditional Random Samples

prompt-diffusion

Official PyTorch implementation of the paper "In-Context Learning Unlocked for Diffusion Models"

proto_da

pydpm

A Python Library for Deep Probabilistic Models