Yuanhe Zhang's repositories
Computational-Neuroscience
All pathways to CN.
Hidden-Markov-Model
All resources related to HMM research
Score-matching-for-unnormalized-density-estimation
A practical attempt to implement density estimation for unnormalized gaussian mixture distribution using score matching
BRUNO
a deep recurrent model for exchangeable data
Conditional-Normalizing-Flow
Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model
Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng on Coursera.
Doubly-Robust-Density-Estimation
Code implementation for the master thesis
Generative-Modeling-with-NODEs
Code for Master's thesis: "Generative Modeling with Neural Ordinary Differential Equations".
iaf
Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
LRS_NF
[AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".
neural-processes
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
normalizing-flows-clean-code
Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
nsf
Code for Neural Spline Flows paper
particlenet
A simple Implementation of ParticleNet in Pytorch Geometric
ParticleNetLite-Neural-network-triggers-for-LHC_CMS
University of Bristol Summer Research
pytorch-flows
PyTorch implementations of algorithms for density estimation
ST407-Bayesian-Changepoint-Analysis-project
Changepoint detection using Gibbs sampler and proposed RJMCMC