parkseobin

MLSR

Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"

VDSR-pytorch-tf2

VDSR implementation with PyTorch and Tensorflow 2

finetune_vgg19

finetuning vggnet 19

IDN-tensorflow

Tensorflow implementation of IDN (CVPR 2018)

Meta-SR-Pytorch

Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)

sait_tutorials

tutorials for generative models and meta-learning

bxcodec

distribution_augmentation

Code for the paper, "Distribution Augmentation for Generative Modeling", ICML 2020.

resnet34_mkl

ResNet34 with pure C++ and MKL library

sift_matlab

SIFT implementation with matlab

double_pendulum

Simulating double pendulum movement with Runge-Kutta method

dsrn

Implementation for our CVPR 2018 paper

image-gpt

KernelGAN

lizheming

:octocat: Hello there! This repository is for the welcome message on my Github Profile.

metrics

Machine learning metrics for distributed, scalable PyTorch applications.

parkseobin

pytorch-cifar

95.47% on CIFAR10 with PyTorch

ReIQA

Official implementation for CVPR2023 Paper "Re-IQA : Unsupervised Learning for Image Quality Assessment in the Wild"

SRGAN-PyTorch

SRGAN (Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network) implementation using PyTorch framework

torchdiffeq

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

WaylonWalker

Learning in public

ZSSR

"Zero-Shot" Super-Resolution using Deep Internal Learning