Siyeong-Lee

Deep_Recursive_HDRI

Deconstructing-MINE

Official implementation of the paper "Combating the Instability of Mutual Information-based Losses via Regularization" (UAI 2022)

CIO

Computational Intelligence Optimization

deep-hist

PyTorch implementation of Histogram Layers from DeepHist: Differentiable Joint and Color Histogram Layers for Image-to-Image Translation

gan_steerability

On the "steerability" of generative adversarial networks

hdr_vds_dataset

Image-Segmentation-MRF

RelativisticGAN

Code for replication of the paper "The relativistic discriminator: a key element missing from standard GAN"

simple_vim_guide

simple vim guide

bayes-by-backprop

PyTorch implementation of "Weight Uncertainty in Neural Networks"

bmvc_2019

PyTorch code for our BMVC 2019 paper "Image Classification with Hierarchical Multigraph Networks"

DetNAS

dgcnn

GP-Clustering

Clustering with Gaussian Process Models

KernelGAN

mixmatch

mld_crf

Multi-lane detection in urban driving environments using conditional random fields

mtheme

A modern LaTeX Beamer theme

projectRegularization

Regularization of Building Boundaries using Adversarial and Regularized losses

pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

Pytorch-CapsuleNet

An easy-to-follow Pytorch implementation of Hinton's Capsule Network

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-multigpu

Multi GPU Training Code for Deep Learning with PyTorch

rotograd

Official Pytorch's implementation of RotoGrad

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

SuperGlue-pytorch

[SuperGlue: Learning Feature Matching with Graph Neural Networks] This repo includes PyTorch code for training the SuperGlue matching network on top of SIFT keypoints and descriptors.

Superglue-with-Physarum-Dynamics

This repository contains the implementation of SuperGlue with Physarum Dynamics LP solver.

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

vadam

Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, Gal, and Srivastava

VecRoad

The official repo of the CVPR 2020 paper "VecRoad: Point-based Iterative Graph Exploration for Road Graphs Extraction"