Felix Opolka

STGCN-PyTorch. 🚗 Implementation of spatio-temporal graph convolutional network with PyTorch

Single-Player-MCTS. 🌳 Python implementation of single-player Monte-Carlo Tree Search.

Deep-Gaussian-Process. 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0

pnerf-pytorch. 🔗 PyTorch implementation of the Parallelized Natural Extension Reference Frame algorithm

Mobility-Flows-Neural-Networks. 🌇 Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks

GGP-TF2. 📈 Implementation of the Graph Gaussian Process using GPflow and TensorFlow 2

Swift-Machine-Learning-Library. 🐣 A machine learning library in Swift.

Graph-Classification-Gaussian-Processes-via-Spectral-Features. Code for the UAI 2023 paper Graph Classification Gaussian Processes via Spectral Features

Denoising-Diffusion-Probabilistic-Models-Playground. ♨️ From scratch implementations of Denoising Diffusion Probabilistic Models for small toy examples to be run on local machines within minutes.