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Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
Adversarial Discriminative Domain Adaptation
A tensorflow implement of Adversarial Discriminative Domain Adaptation
Implementation of "Adversarial Discriminative Domain Adaptation" on pytorch
Tensorflow implementation of Adversarial Autoencoders
General adversarial domain adaptation framework
Code release for "Unsupervised Domain Adaptation: An Adaptive Feature Norm Approach".
Talk with @sebastianbujwid for the AI week, about domain adaptation and image to image translation
[ICCV2019] RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
The most cited deep learning papers
Awesome person re-identification
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
A collection of AWESOME things about domian adaptation
Python library for extracting mini-batches of data from a data source for the purpose of training neural networks
[NIPS 2017] Toward Multimodal Image-to-Image Translation
Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.
Domain adaptation and domain generalization
Caffe: a fast open framework for deep learning.
Caffe with Deep_CORAL layers
A Caffe/C++ implementation of Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Camera Style Adaptation for Person Re-identification CVPR 2018
Pytorch version of Hinton's Capsule Theory paper: Dynamic Routing Between Capsules
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
An implementation of an MNIST capsule network
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.