jongchan Goto Github PK
Name: Jongchan Park
Type: User
Company: Lunit Inc.
Bio: Research Scientist @Lunit
Location: Korea
Name: Jongchan Park
Type: User
Company: Lunit Inc.
Bio: Research Scientist @Lunit
Location: Korea
Anchor optimization for RetinaNet.
repository for short (and incomplete) comments on papers
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
Reading list for research topics in multimodal machine learning
A framework for data augmentation for 2D and 3D image classification and segmentation
CCNet: Criss-Cross Attention for Semantic Segmentation (ICCV 2019).
On the importance of single directions for generalization(Morcos et al, ICLR 2018)
CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing and processing multimodal datasets.
Dataset Distillation
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
Code for "Distort-and-Recover: Color Enhancement with Deep Reinforcement Learning", CVPR18
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
Official implementation of Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation, to be presented at ICCV 2019.
[CVPR 2018] Feedback-prop: Convolutional Neural Network Inference under Partial Evidence
Inverse-Consistent Deep Networks for Unsupervised Deformable Image Registration
A customisable 3D platform for agent-based AI research
This is the preprocessing step of the LIDC-IDRI dataset
Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
Implementation of MARN AAAI18 in pytorch
a project for developing registration tools with convolutional neural networks
Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.