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"

AdaBound

An optimizer that trains as fast as Adam and as good as SGD.

adamwr

Implements https://arxiv.org/abs/1711.05101 AdamW optimizer and cosine learning rate scheduler for PyTorch framework

awesome-readme

A curated list of awesome READMEs

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

DCNv2

Deformable Convolutional Networks v2 with Pytorch

Deep-subspace-clustering-networks

docker-python3-opencv

🐋 🐍 👁 Docker image with python 3 and opencv 3.4

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

human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

inverse-compositional-STN

Inverse Compositional Spatial Transformer Networks (CVPR 2017)

irn

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

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

mmediting

OpenMMLab Image and Video Editing Toolbox

over9000

Over9000 optimizer

pre-training

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

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pytorch-balanced-batch

A pytorch dataset sampler for always sampling balanced batches.

pytorch-optimizer

torch-optimizer -- collection of optimizers for Pytorch

RAdam

On The Variance Of The Adaptive Learning Rate And Beyond

ss-ood

Self-Supervised Learning for OOD Detection

YOPO-You-Only-Propagate-Once

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