seanxl Goto Github PK
Name: Sean L
Type: User
Company: Georgia Institute of Technology
Bio: Computer Science/Data Science
Name: Sean L
Type: User
Company: Georgia Institute of Technology
Bio: Computer Science/Data Science
100 Must-Read NLP Papers
Learn Deep Reinforcement Learning in depth in 60 days
This repository contains a 90-day cybersecurity study plan, along with resources and materials for learning various cybersecurity concepts and technologies. The plan is organized into daily tasks, covering topics such as Network+, Security+, Linux, Python, Traffic Analysis, Git, ELK, AWS, Azure, and Hacking. The repository also includes a `LEARN.md
Ai Learning Roadmap based on lots of open course sources and book materials. 我总结的 AI 学习路径。
算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~
Bug-tracking for Jeff's algorithms book, notes, etc.
A collection of algorithms and data structures
This repo is a collection of awesome Mac applications and tools for developers and designers.
:dart: :star2:[大数据面试题]分享自己在网络上收集的大数据相关的面试题以及自己的答案总结.目前包含Hadoop/Hive/Spark/Flink/Hbase/Kafka/Zookeeper框架的面试题知识总结
大数据入门指南 :star:
Mastering Bitcoin 2nd Edition - Programming the Open Blockchain
A Book about Pythonic Application Architecture Patterns for Managing Complexity. Cosmos is the Opposite of Chaos you see. O'R. wouldn't actually let us call it "Cosmic Python" tho.
Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson
A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Banking, Finance and Insurance, Customer, Employee, Legal, Management, Operations and Public matters.
Certified Kubernetes Administrator - CKA Course
面试高频算法题总结,个人博客
《剑指Offer》题目汇总&常考题总结(Python实现)
Official content for Harvard CS109
一份硬核(hardcore)计算机科学CS自学计划,偏向软件工程和系统架构方向
计算机科学学习指南-骑鹿人
Roadmap to becoming a data engineer in 2020
Udacity - Data Science - Term 2 -Recommendations with IBM
Data Science at the Command Line
Goal of this repo is to provide solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Data science interview questions and answers
This repo contains the material and projects for Udacity Data science Nanodegree term 2
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
Books for machine learning, deep learning, math, NLP, CV, RL, etc
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.