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Name: Xuanyuan Su
Type: User
Bio: Graduate student in BUAA, China
Name: Xuanyuan Su
Type: User
Bio: Graduate student in BUAA, China
Open source simulation model for the induction machine with an inter-turn short circuit fault
http://nlp.seas.harvard.edu/2018/04/03/attention.html
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Hierarchical Attention Networks for Document Classification in PyTorch
A collection of AWESOME things about domian adaptation
Adaptive Experimentation Platform
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
for de-noising
in Python
A pytorch implementation of "Domain-Adaptive Few-Shot Learning"
A collection of various deep learning architectures, models, and tips
The program simulate fault bearing signal for CNN-designated classification task.
Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
This repo provides source code for cross-domain machine fault diagnosis using an unsupervised domain adaptation approach (Feature Representation Alignment Networks).
A PyTorch Library for Meta-learning Research
局域均值分解的python实现
Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data
Files of ASOC 107286
The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].
Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
Python Library for Inference (Causal and Probabilistic) and learning in Bayesian Networks
this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.
Python implementation of Empirical Mode Decompoisition (EMD) method
备份常见的python代码
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)
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.