Guandao Yang
AP @ UT Austin ECE. Physical Generative AI.
This profile was put together from Guandao's public GitHub portfolio, and they haven't joined Vibetown yet, so reach them through their portfolio. Is this you? Contact us to update or remove it.
About
Guandao Yang works in ML & data science and AI engineering, based in Austin (The University of Texas at Austin). AP @ UT Austin ECE. Physical Generative AI. Public projects on GitHub include PointFlow (PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows), Jax Diffusion (Jax implementation of ImageNet diffusion models) and NFGP (Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields), mostly written in Python, Jupyter and Julia.
Projects 6
PointFlow
PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows
github.comJax Diffusion
Jax implementation of ImageNet diffusion models.
github.comNFGP
Pytorch implementation of NeurIPS 2021 paper: Geometry Processing with Neural Fields.
github.comPNF
Polynomial Neural Fields for Subband Decomposition and Manipulation
github.com- github.com
WAGE.pytorch
Reproduction of WAGE in PyTorch.
NN.jl
Jupiter neural network library
github.com