Jantory
This is Zeyu Zhang, I am currently a Ph.D. student from the University of Amsterdam. You can access me via: z.zhang2@uva.nl
@UvA
Pinned Repositories
3D_Compact_Tree_Drawing
This is a work represented in GD2021: we provide a novel approach for construct compact embedding for complete trees in 3D setting.
AI-Player
Compiler
CPA
The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.
cpwrangle
This repository serves as a storage facility for experimental results and associated documents related to CPWrangle.
entity_match_benchmark
GNN-Comparison
This is a project for comparing the performance of different robust GNN models under three levels of structural noise.
Jantory.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
VolVis
weakly-supervised-segmentation-of-power-lines
This is a semester project hold by CVLAB at EPFL. The project aims to use a weakly supervised manner to conduct the wire segmentation task. Specifically, we designed a couple of AC-GAN and Cycle-GAN based models to finish this task.
Jantory's Repositories
Jantory/cpwrangle
This repository serves as a storage facility for experimental results and associated documents related to CPWrangle.
Jantory/weakly-supervised-segmentation-of-power-lines
This is a semester project hold by CVLAB at EPFL. The project aims to use a weakly supervised manner to conduct the wire segmentation task. Specifically, we designed a couple of AC-GAN and Cycle-GAN based models to finish this task.
Jantory/3D_Compact_Tree_Drawing
This is a work represented in GD2021: we provide a novel approach for construct compact embedding for complete trees in 3D setting.
Jantory/AI-Player
Jantory/Compiler
Jantory/CPA
The Compositional Perturbation Autoencoder (CPA) is a deep generative framework to learn effects of perturbations at the single-cell level. CPA performs OOD predictions of unseen combinations of drugs, learns interpretable embeddings, estimates dose-response curves, and provides uncertainty estimates.
Jantory/entity_match_benchmark
Jantory/GNN-Comparison
This is a project for comparing the performance of different robust GNN models under three levels of structural noise.
Jantory/Jantory.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Jantory/PBWT-Compress
This is a compress tool developed for compressing the data in Sam format
Jantory/tue-deeplearning
Repository for Tutorials and Practicals part of the Deep Learning course at TU/e
Jantory/VolVis