jongchan Goto Github PK

anchor-optimization

Anchor optimization for RetinaNet.

arxiv-screening

repository for short (and incomplete) comments on papers

attend-and-compare

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

autoaugment_experiment

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

azure_vm_setup

batch-instance-normalization

batchgenerators

A framework for data augmentation for 2D and 3D image classification and segmentation

ccnet

CCNet: Criss-Cross Attention for Semantic Segmentation (ICCV 2019).

class_selectivity_index

On the importance of single directions for generalization(Morcos et al, ICLR 2018)

cmu-multimodalsdk

CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing and processing multimodal datasets.

dataset-distillation

Dataset Distillation

detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

distort-and-recover-cvpr18

Code for "Distort-and-Recover: Color Enhancement with Deep Reinforcement Learning", CVPR18

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

dta.pytorch

Official implementation of Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation, to be presented at ICCV 2019.

fast-individual-gradients-with-autodiff

feedbackprop

[CVPR 2018] Feedback-prop: Convolutional Neural Network Inference under Partial Evidence

funnelact

icnet

Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration

jongchan.github.io

lab

A customisable 3D platform for agent-based AI research

lidc-idri-preprocessing

This is the preprocessing step of the LIDC-IDRI dataset

lsd-seg

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

marn

Implementation of MARN AAAI18 in pytorch

medical-image-registration

a project for developing registration tools with convolutional neural networks

mosei_umons

moving-semantic-transfer-network

Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation