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Name: Shao Wujun
Type: User
Name: Shao Wujun
Type: User
ADS_NASA
This code queries the number of articles per year that give the limit through the API, and the citations of all articles are accumulated.
Classifying Astronomical objects using SDSS - DR16 Data
Python samples for Astrostatistics 2022 Spring
This project's goal is to classify sky objects such as star, galaxy, and quasar via sdss data.
🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)
Tools for extract figure, table, text, .. from a pdf document.
Retrieves, formats and prints publication library from NASA ADS in a LaTeX-friendly format
Config files for my GitHub profile.
LAMOST光谱分类的一些程序
Matlab codes for feature learning
:orange_book:慢慢整理所学的机器学习算法,并根据自己所理解的样子叙述出来。(注重数学推导)
👾 A Python API wrapper for Poe.com, using Httpx. With this, you will have free access to ChatGPT, Claude, Llama, Google-PaLM and more! 🚀
Python interface for LAMOST Data
All Algorithms implemented in Python
Outlier detection algorithm for MaNGA data built upon the Unsupervised Random Fores (URF) in Dalya Baron, Dovi Poznanski, The weirdest SDSS galaxies: results from an outlier detection algorithm, Monthly Notices of the Royal Astronomical Society, Volume 465, Issue 4, March 2017, Pages 4530–4555, https://doi.org/10.1093/mnras/stw3021
Sloan Digital Sky Survey exploratory analysis, classification model selection and parameter optimization using genetic algorithms.
These scripts explore galaxy/quasar/star classification from optical and infrared magnitudes using supervised machine learning.
Analyse the catalogue data of DR-14, 15 & 16 to understand the differences in the spectra of the three classes of celestial objects, namely stars, galaxies, and quasars, using Machine learning techniques
Dimensionality Reduction of SDSS Spectra with Variational Autoencoders
A stellar dataset from Kaggle analysed, pre-processed and four models (SVM, Random Forest, KNN & Logistic Regression) are made with accuracies over 95%.
Unofficial implementation of "TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images"
Code Repository for `Where is Waldo (and his friends)? A comparison of anomaly detection algorithms for time-domain astronomy`
This repository contains the basic outlier detection algorithm that we use to find the weirdest SDSS galaxies.
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.