FelixOpolka
PhD student in machine learning at Cambridge University. Previously at TU Munich.
Cambridge, United Kingdom
Pinned Repositories
Deep-Gaussian-Process
🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0
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.
FelixOpolka.github.io
A beautiful Jekyll theme for academics
GGP-TF2
📈 Implementation of the Graph Gaussian Process using GPflow and TensorFlow 2
Graph-Classification-Gaussian-Processes-via-Spectral-Features
Code for the UAI 2023 paper Graph Classification Gaussian Processes via Spectral Features
Mobility-Flows-Neural-Networks
🌇 Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks
pnerf-pytorch
🔗 PyTorch implementation of the Parallelized Natural Extension Reference Frame algorithm
Single-Player-MCTS
🌳 Python implementation of single-player Monte-Carlo Tree Search.
STGCN-PyTorch
🚗 Implementation of spatio-temporal graph convolutional network with PyTorch
Swift-Machine-Learning-Library
🐣 A machine learning library in Swift.
FelixOpolka's Repositories
FelixOpolka/STGCN-PyTorch
🚗 Implementation of spatio-temporal graph convolutional network with PyTorch
FelixOpolka/Single-Player-MCTS
🌳 Python implementation of single-player Monte-Carlo Tree Search.
FelixOpolka/Deep-Gaussian-Process
🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0
FelixOpolka/Mobility-Flows-Neural-Networks
🌇 Learning Mobility Flows from Urban Features with Spatial Interaction Models and Neural Networks
FelixOpolka/pnerf-pytorch
🔗 PyTorch implementation of the Parallelized Natural Extension Reference Frame algorithm
FelixOpolka/GGP-TF2
📈 Implementation of the Graph Gaussian Process using GPflow and TensorFlow 2
FelixOpolka/Swift-Machine-Learning-Library
🐣 A machine learning library in Swift.
FelixOpolka/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.
FelixOpolka/Graph-Classification-Gaussian-Processes-via-Spectral-Features
Code for the UAI 2023 paper Graph Classification Gaussian Processes via Spectral Features
FelixOpolka/FelixOpolka.github.io
A beautiful Jekyll theme for academics
FelixOpolka/GGP
Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'
FelixOpolka/minigo
An open-source implementation of the AlphaGoZero algorithm
FelixOpolka/Statistical-Learning-Algorithms
Implementations of various statistical learning algorithms