mikigom

Awesome-Deep-Colorization

Selected Paper List of Deep Model based Image Colorization

gSLICrPy

Python3 Wrapper for "gSLICr: SLIC superpixels at over 250Hz"

DNPL-PyTorch

Official Code for "On the Power of Deep but Naive Partial Label Learning" (ICASSP 21)

Kernel-Modeling-Super-Resolution

Official Implementation for Kernel Modeling Super-Resolution on Real Low-Resolution Images

ACDRNet

Official PyTorch implementation of "End to End Trainable Active Contours via Differentiable Rendering"

Clustering-Codes

This repository contains codes for performing some clustering techniques including KMeans and Sparse Subspace Clustering

CMC

Contrastive Multiview Coding (self-supervised learning from multiple sensors/views/modalities)

code-for-blog

Code samples from my blog

CoModGAN-StyleGANv2

Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

DCSR

Implementation for our ICCV 2021 paper: Dual-Camera Super-Resolution with Aligned Attention Modules

dual-hrnet

Dual-HRNet

EDSR-PyTorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

GPND

Generative Probabilistic Novelty Detection with Adversarial Autoencoders

graph-cut-ransac

The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf

irn

Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)

lsun

LSUN Dataset Documentation and Demo Code

mikigom.github.io

mmediting

OpenMMLab Image and Video Editing Toolbox

mmgeneration

MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

over9000

Over9000 optimizer

pre-training

Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)

pytorch-balanced-batch

A pytorch dataset sampler for always sampling balanced batches.

pytorch-gpu-benchmark

Using the famous cnn model in Pytorch, we run benchmarks on various gpu.

pytorch-optimizer

torch-optimizer -- collection of optimizers for Pytorch

RAdam

On The Variance Of The Adaptive Learning Rate And Beyond

speechbrain

A PyTorch-based Speech Toolkit

ss-ood

Self-Supervised Learning for OOD Detection

STEGO

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

YOPO-You-Only-Propagate-Once

Code for our nips19 paper: You Only Propagate Once: Accelerating Adversarial Training Via Maximal Principle