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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

pbwt-compress

This is a compress tool developed for compressing the data in Sam format

tue-deeplearning

Repository for Tutorials and Practicals part of the Deep Learning course at TU/e

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.