xuweijun-npuer Goto Github PK
Name: Weijun Xu
Type: User
Company: Politecnico di Milano
Location: Milano,Italy
Name: Weijun Xu
Type: User
Company: Politecnico di Milano
Location: Milano,Italy
:pencil2: LeetCode solutions in C++ 11 and Python3
Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
My personal notes
Core codes for the paper ["A General Data-driven Framework for Remaining Useful Life Estimation with Uncertainty Quantification Using Split Conformal Prediction"]
This repository holds my paper implementations made for my studies and my content production
Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles. Published at Uncertainty in AI (UAI) 2020.
PRML algorithms implemented in Python
Matlab code of machine learning algorithms in book PRML
Deep Gaussian Processes in Python
PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Partially inspired by Zheng, S., Ristovski, K., Farahat, A., & Gupta, C. (2017, June). Long short-term memory network for remaining useful life estimation.
Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)
Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
Remaining useful life estimation of NASA turbofan jet engines using data driven approaches which include regression models, LSTM neural networks and hybrid model which is combination of VAR with LSTM
This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.
A ShadowsocksR client for Android
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
RUL prediction for C-MAPSS dataset, reproduction of this paper: https://personal.ntu.edu.sg/xlli/publication/RULAtt.pdf
High-quality implementations of standard and SOTA methods on a variety of tasks.
Uncertainty Toolbox: a python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
Code repository for review paper titled "Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Comprehensive Review"
Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"
Bayesian GPLVM in MATLAB and R
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
A solution to radio frequency distortion modeling of ZTE algorithm contest in Fourier group.
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.