tychovdo

PacmanDQN

Deep Reinforcement Learning in Pac-man

MovingMNIST

Moving MNIST as PyTorch Dataset

RevGAN

RevGAN implementation in PyTorch. We extend the Pix2pix and CycleGAN framework by exploring approximately invertible architectures in 2D and 3D. These architectures are approximately invertible by design and thus partially satisfy cycle-consistency before training even begins. Furthermore, since invertible architectures have constant memory complexity in depth, these models can be built arbitrarily deep without requiring additional memory. In the paper we demonstrate superior quantitative output on the Cityscapes and Maps datasets at near constant memory budget.

lila

Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"

ella

Char-RNN-Understanding

Understanding Character-level RNN Language Models with Diagnostic Classifiers in PyTorch.

Geo-Vec

Implementation of the Geo-Vec model for embedding documents

InvertibleLanguageModel

Stacked RNN Language Model with invertible recurrent blocks

nodejs_multiplayergame

Multiplayer game in javascript using websockets and node.js

abc

SeqGAN but with more bells and whistles

asdlfkjsadlkfj

flownet2-pytorch

Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

functional-layers

Geo-Vec-Model

Implementation of the Geo-Vec model for embedding documents

glow-pytorch

pytorch implementation of openai paper "Glow: Generative Flow with Invertible 1×1 Convolutions"

KR

https://www.overleaf.com/6579226mjcdjb

lwjgl-topdownshooter

lwjgl_platformer

Java platformer game using the lwjgl library

memcnn

PyTorch Framework for Developing Memory Efficient Deep Invertible Networks

mml-autumn-2022

Materials for Autumn 2022 Mathematics for Machine Learning course.

mypy

Optional static typing for Python

real-nvp

Implementation of Real NVP in PyTorch

revgan.github.io

tychovdo.github.io

website2021

Mark's website. Edit this to add your name to the research group.