danielzuegner

code-transformer

Implementation of the paper "Language-agnostic representation learning of source code from structure and context".

fph-clustering

gnn-meta-attack

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

netgan

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

nettack

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

openai-hackathon

robust-gcn

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

robust-gcn-structure

mattergen

Official implementation of MatterGen -- a generative model for inorganic materials design across the periodic table that can be fine-tuned to steer the generation towards a wide range of property constraints.

seml

SEML: Slurm Experiment Management Library

danielzuegner/nettack

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

danielzuegner/netgan

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

danielzuegner/code-transformer

Implementation of the paper "Language-agnostic representation learning of source code from structure and context".

danielzuegner/gnn-meta-attack

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

danielzuegner/robust-gcn

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

danielzuegner/robust-gcn-structure

danielzuegner/fph-clustering

danielzuegner/openai-hackathon

danielzuegner/roomba_control

Controlling a Roomba with a PS4 controller and playing songs

danielzuegner/cdvae

An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]

danielzuegner/GDN

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series"

danielzuegner/GTS

Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.

danielzuegner/mattergen

Official implementation of MatterGen -- a generative model for inorganic materials design across the periodic table that can be fine-tuned to steer the generation towards a wide range of property constraints.

danielzuegner/ML_Exercises

danielzuegner/MTGNN

danielzuegner/pdf-annotate

Pure-python library for adding annotations to PDFs

danielzuegner/sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

danielzuegner/atomate2

atomate2 is a library of computational materials science workflows

danielzuegner/PDFsuite

Python scripts for MacOS (OS X) that create, manipulate, and query PDF files

danielzuegner/pymatgen

Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.

danielzuegner/pytorch_geometric

Graph Neural Network Library for PyTorch

danielzuegner/tossitlikeitshot