shuke0327 Goto Github PK
Name: Kai Jing
Type: User
Location: China
Kai Jing's Projects
275-how-i-test
activewarehouse
ActiveWarehouse for Rails - Implement data warehouses with Rails
activewarehouse-etl
Extract-Transform-Load library from ActiveWarehouse
airdrop
Code related to the IQ airdrop
algorithms-tour
How data science is woven into the fabric of Stitch Fix
amazon-dsstne
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models
apebot
authy2fa-rails
2FA Implementation with Authy and Ruby on Rails
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-recsys-papers
The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!
babosa
A library for creating slugs. Babosa is an extraction and improvement of the string code from FriendlyId, intended to help developers create similar libraries or plugins.
bihu-tools
bitcoin
Bitcoin Core integration/staging tree
bitcoinbook
Mastering Bitcoin - Unlocking digital currencies
bitstarter
demo plan using node.js
blockchain
Learning on block chain, step by step
bookstore-example
Example app showing Elasticsearch + Searchkick integration
bootstrap
Sleek, intuitive, and powerful front-end framework for faster and easier web development.
btcrobot
Golang bitcoin trading bot, it features multiple trading methods using technical analysis
c-code
C programming practice
calibre
carmel
The Open Source Decentralized Tech Education Platform
celluloid
Actor-based concurrent object framework for Ruby
chain-address
ETH与EOS地址转换与生成器
chatgpt-next-web
A well-designed cross-platform ChatGPT UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT 应用。
chintai-calculator
For help EOS token holder calculate the best time to stake.
chintaitech
cs105b
A repo for Brandeis COSI105b class
css
A mostly reasonable approach to CSS and Sass.
deep-learning-for-recommendation-systems
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
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