Pinned Repositories
arxiv-screening
repository for short (and incomplete) comments on papers
attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
AutoAugment
Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
DISTORT-AND-RECOVER-CVPR18
Code for "Distort-and-Recover: Color Enhancement with Deep Reinforcement Learning", CVPR18
MARN
Implementation of MARN AAAI18 in pytorch
semi-supervised-learning-papers
semi-supervised-learning-pytorch
Several SSL methods (Pi model, Mean Teacher) are implemented in pytorch
tensorflow-vdsr
A tensorflow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks", CVPR 16'
unsupervised_data_augmentation_pytorch
A PyTorch implementation for Unsupervised Data Augmentation
week2_ssd_tutorial
A PyTorch Implementation of Single Shot MultiBox Detector
Jongchan's Repositories
Jongchan/attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Jongchan/tensorflow-vdsr
A tensorflow implementation of "Accurate Image Super-Resolution Using Very Deep Convolutional Networks", CVPR 16'
Jongchan/unsupervised_data_augmentation_pytorch
A PyTorch implementation for Unsupervised Data Augmentation
Jongchan/semi-supervised-learning-papers
Jongchan/week2_ssd_tutorial
A PyTorch Implementation of Single Shot MultiBox Detector
Jongchan/MARN
Implementation of MARN AAAI18 in pytorch
Jongchan/SegLoss
A collection of loss functions for medical image segmentation
Jongchan/anchor-optimization
Anchor optimization for RetinaNet.
Jongchan/attend-and-compare
Jongchan/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
Jongchan/batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
Jongchan/CMU-MultimodalSDK
CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing and processing multimodal datasets.
Jongchan/DTA.pytorch
Official implementation of Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation, to be presented at ICCV 2019.
Jongchan/FunnelAct
Jongchan/ICNet
Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration
Jongchan/LIDC-IDRI-Preprocessing
This is the preprocessing step of the LIDC-IDRI dataset
Jongchan/Medical-image-registration
a project for developing registration tools with convolutional neural networks
Jongchan/MOSEI_UMONS
Jongchan/multilogue-net
A context aware inter-modal recurrent neural network architecture for multi-modal emotion detection and sentiment analysis in conversation
Jongchan/NLNL-Negative-Learning-for-Noisy-Labels
NLNL: Negative Learning for Noisy Labels
Jongchan/nnUNet
Jongchan/RCRNet-Pytorch
Semi-Supervised Video Salient Object Detection Using Pseudo-Labels (ICCV2019) in PyTorch
Jongchan/RegNet
Nonrigid image registration using multi-scale 3D convolutional neural networks
Jongchan/robustness
Corruption and Perturbation Robustness (ICLR 2019)
Jongchan/segmenteverygrain
A SAM-based model for instance segmentation of images of grains
Jongchan/Sims4CommunityLibrary
An open source library with a focus on providing utilities and services to the larger Sims 4 modding community. Let's not reinvent the wheel!
Jongchan/STM-Training
training script for space time memory network with additional cyclic features
Jongchan/streamlit-leaderboard
A general purpose leaderboard for small ML competitions using Streamlit
Jongchan/voxelmorph
Unsupervised Learning for Image Registration
Jongchan/xla
Enabling PyTorch on Google TPU