zcrabbit
I am a tenure-track Assistant Professor in the School of Mathematical Sciences at Peking University (2019.08-present).
Peking UniversityBeijing, China
Pinned Repositories
czhang.me
Personal Homepage
george
Fast Gaussian Processes for regression
PhyloInfer
Developing efficient Bayesian phylogenetic inference methods
RNSHMC
Hamiltonian Monte Carlo Acceleration using Surrogate Functions with Random Bases
sbn
Generalizing Phylogenetic Posterior Estimator from MCMC samples via subplit Bayesian networks
vbpi
Variational Bayesian Phylogenetic Inference
vbpi-gnn
Code for learnable topological features for phylogenetic inference via graph neural networks
vbpi-nf
Code for improved variational Bayesian phylogenetic inference with normalizing flows
vbpi-torch
Pytorch Implementation of Variational Bayesian Phylogenetic Inference
zcrabbit.github.io
Personal Homepage
zcrabbit's Repositories
zcrabbit/PhyloInfer
Developing efficient Bayesian phylogenetic inference methods
zcrabbit/sbn
Generalizing Phylogenetic Posterior Estimator from MCMC samples via subplit Bayesian networks
zcrabbit/vbpi-gnn
Code for learnable topological features for phylogenetic inference via graph neural networks
zcrabbit/vbpi-nf
Code for improved variational Bayesian phylogenetic inference with normalizing flows
zcrabbit/RNSHMC
Hamiltonian Monte Carlo Acceleration using Surrogate Functions with Random Bases
zcrabbit/vbpi
Variational Bayesian Phylogenetic Inference
zcrabbit/vbpi-torch
Pytorch Implementation of Variational Bayesian Phylogenetic Inference
zcrabbit/zcrabbit.github.io
Personal Homepage
zcrabbit/czhang.me
Personal Homepage
zcrabbit/george
Fast Gaussian Processes for regression
zcrabbit/kbroman.github.io
Karl Broman's website
zcrabbit/MJHMC
Python implementation of Markov Jump Hamiltonian Monte Carlo
zcrabbit/PrecompHMC
Precomputing Strategy for Hamiltonian Monte Carlo Method Based on Regularity in Parameter Space
zcrabbit/tsong.me
You can use my code, but I would appreciate it if you provide a link back to my website. Also do not mess up with Google Analytics!