xiaoyan-zhou Goto Github PK
Name: Xiaoyan Zhou
Type: User
Blog: https://scholar.google.com.hk/citations?user=RUG7lf8AAAAJ&hl=zh-CN
Name: Xiaoyan Zhou
Type: User
Blog: https://scholar.google.com.hk/citations?user=RUG7lf8AAAAJ&hl=zh-CN
Robustness vs Accuracy Survey on ImageNet
Anomaly detection related books, papers, videos, and toolboxes
Drawing Bayesian networks, graphical models, and technical frameworks in LaTeX.
collections for advanced, novel multi-view clustering methods(papers , codes and datasets)
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Papers for Bayesian-NN
课件:数字图像处理,计算机视觉,人工智能导论,机器学习,深度学习
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
Methods and Implements of Deep Clustering
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations. ICML-2019.
My blogs and code for machine learning. http://cnblogs.com/pinard
NIPS2018 paper
MUREL (CVPR 2019), a multimodal relational reasoning module for VQA
Python package for multi-view machine learning
Dataset of diseased plant leaf images and corresponding labels
Prior Guided Evidential Deep Learning towards Source-free Few-shot Domain Adaptation in SAR ATR
We have curated existing publicly available datasets, including vehicle targets (MSTAR), airplane targets (SAR-ACD), and ship targets (FUSAR-ship), and created a new dataset for SAR OOD detection.
Python codes for tensor factorization, tensor completion, and tensor regression techniques.
Machine learning for transportation data imputation and prediction.
Mitigating SAR Out-of-distribution Overconfidence based on Evidential Uncertainty
High-quality implementations of standard and SOTA methods on a variety of tasks.
A collection of research and application papers of (uncertainty) calibration techniques.
Uncertainty Toolbox: a python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
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.