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(ICCV'19 Best Paper Nomination) Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation
A collection of AWESOME things about domian adaptation
:books: A collection of edge/contour/boundary detection papers and toolbox.
A list of awesome papers and cool resources on optimal transport and its applications in general! As you will notice, this list is currently mostly focused on optimal transport for machine learning topics.
deep learning for image processing including classification and object-detection etc.
A collection of implementations of deep domain adaptation algorithms
DeepGUM: Learning Deep Robust Regression with a Gaussian-Uniform Mixture Model, ECCV 2018
Pytorch Implementation of Domain Generalization Using a Mixture of Multiple Latent Domains
All about domain generalization
The implement of "Learning Disentangled Semantic Representation for Domain Adaptation" (IJCAI 2019)
Distributional Sliced-Wasserstein distance code
Implementation of "Dual Mixup Regularized Learning for Adversarial Domain Adaptation" in Pytorch
Collection of resources that combine dynamic systems, control with deep learning.
关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Geometric loss functions between point clouds, images and volumes
Invariant Information Clustering for Unsupervised Image Classification and Segmentation
This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.
An Introduction to Deep Generative Modeling: Examples
Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation(AAAI-2019)
Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"
本人博士期间的科研经验
白板推导系列课程笔记 初版
MMD-GAN: Towards Deeper Understanding of Moment Matching Network
Practical sessions for the Optimal Transport and Machine learning course at DS3 2018
Demo implementation for "A Pareto-Efficient Algorithm for Multiple Objective Optimization in E-Commerce Recommendation".
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.