Pinned Repositories
algorithms
amazonDatasetAnalysis
Analyze an Amazon.com dataset in a machine learning approach.
ArtificialIntelligence
Attacking-CAPTCHAS
everything about attacking CAPTCHAS
awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
Big-Data-Visualization
bluetooth4.0
Improve knowledge of bluetooth 4.0 and implementation of applications
Cryptology
generator-angular-fullstack
Yeoman generator for AngularJS with an Express server
the-algorithm
Source code for Twitter's Recommendation Algorithm
songqin's Repositories
songqin/amazonDatasetAnalysis
Analyze an Amazon.com dataset in a machine learning approach.
songqin/generator-angular-fullstack
Yeoman generator for AngularJS with an Express server
songqin/the-algorithm
Source code for Twitter's Recommendation Algorithm
songqin/algorithms
songqin/awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
songqin/braintreeboilerplate
a boilerplate for braintree
songqin/censusSimulation
songqin/data-science
songqin/gitTest
songqin/jekyll-uno
Jekyll-Uno - a minimal, responsive theme for Jekyll based on Uno for Ghost
songqin/keystone-demo
Demo app for Keystone
songqin/lyricalintent_fullstack
songqin/lyricalIntentBookCode
songqin/lyricalIntentBookCodeCh10
profile image implementation using cloudinary
songqin/m1-machine-learning-test
Code for testing various M1 Chip benchmarks with TensorFlow.
songqin/machine_learning_literature_review
songqin/machine_learning_systems
Trying to achieve the best practices of machine learning systems including selection of the correct machine learning model, automated testing and deployment.
songqin/muan.github.com
:cherries: My personal site.
songqin/myleetcode
songqin/P.I.E.
Programming Interview Exposed - Practicing Code
songqin/practical_recommender_systems
The recommender system adapted from Kim Falk's book <Practical Recommender Systems>
songqin/Python3
Python code and documents
songqin/shapash
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
songqin/sklearn
songqin/songqin.github.io
A minimal and mobile-first blog theme for Jekyll
songqin/the-algorithm-ml
Source code for Twitter's Recommendation Algorithm
songqin/Thesis-Latex
songqin/twitterClone
Implement twitter-like app using MEAN stack -- Mongo, Express, Angular, and Node
songqin/webScraper
node.js web scraper
songqin/weread2notion
将微信读书划线同步到Notion