Pinned Repositories
dyncl
Official reference implementation of DynCL (code to be released).
gnn-reinforcement-learning
Representing robots as graphs for reinforcement-learning in PyBullet locomotion environments.
robustness_of_gnns_at_scale
This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).
all-contributors
✨ Recognize all contributors, not just the ones who push code ✨
arima-dev
DeepL-MedicalImaging
Multitask image classification - Identifying 12 pathologies in X-Ray Images using the CheXpert dataset
flow-representation-learning
NeurIPS23 "Flow Factorized Representation Learning"
GraphGallery
GraphGallery is a gallery for benchmarking Graph Neural Networks (GNNs) and Graph Adversarial Learning with TensorFlow 2.x and PyTorch backend.
MSNE-NISE-23
NerveNet
TobiasSchmidtDE's Repositories
TobiasSchmidtDE/DeepL-MedicalImaging
Multitask image classification - Identifying 12 pathologies in X-Ray Images using the CheXpert dataset
TobiasSchmidtDE/flow-representation-learning
NeurIPS23 "Flow Factorized Representation Learning"
TobiasSchmidtDE/MSNE-NISE-23
TobiasSchmidtDE/all-contributors
✨ Recognize all contributors, not just the ones who push code ✨
TobiasSchmidtDE/arima-dev
TobiasSchmidtDE/GraphGallery
GraphGallery is a gallery for benchmarking Graph Neural Networks (GNNs) and Graph Adversarial Learning with TensorFlow 2.x and PyTorch backend.
TobiasSchmidtDE/NerveNet
TobiasSchmidtDE/Optimizing-ARIMA-for-SystemML
Project Report "Optimizing ARIMA for SystemML" about the continuation of my work from my 2018 Summer Internship at IBM Research Almaden
TobiasSchmidtDE/pprgo_pytorch
PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)
TobiasSchmidtDE/Scalable-Time-Series-Forecasting-with-ARIMA-for-SystemML
Project Report "Scalable Time Series Forecasting for SystemML" about the work I've done in my 2018 summer internship at IBM Research Almaden
TobiasSchmidtDE/pytorch_sparse
PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations
TobiasSchmidtDE/seml
SEML: Slurm Experiment Management Library
TobiasSchmidtDE/systemml
Mirror of Apache SystemML
TobiasSchmidtDE/torchtyping
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
TobiasSchmidtDE/tpp-motif-detection
Framing motif discovery of event data as Latent Variable Point Process Model and solving it via Variational Inference
TobiasSchmidtDE/WLED
Control WS2812B RGB LEDs with an ESP8266 over WiFi!