Pinned Repositories
30-Days-Of-React
30 Days of React challenge is a step by step guide to learn React in 30 days. It requires HTML, CSS, and JavaScript knowledge. You should be comfortable with JavaScript before you start to React. If you are not comfortable with JavaScript check out 30DaysOfJavaScript. This is a continuation of 30 Days Of JS. This challenge may take more than 100 days, follow your own pace.
Advanced-Go-Programming-in-7-Days
Advanced Go Programming in 7 Days [Video], published by Packt
algorithm-stone
ACM/LeetCode算法竞赛路线图，最全的算法学习地图！
awesome-ai-residency
List of AI Residency Programs
awesome-deep-learning-papers
The most cited deep learning papers
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
awesome-scalability
Scalable, Available, Stable, Performant, and Intelligent System Design Patterns
awesome-software-architecture
A curated list of awesome articles, videos, and other resources to learn and practice about software architecture, patterns, and principles.
awesome-workflow-engines
A curated list of awesome open source workflow engines
Yfang1688's Repositories
Yfang1688/30-Days-Of-React
30 Days of React challenge is a step by step guide to learn React in 30 days. It requires HTML, CSS, and JavaScript knowledge. You should be comfortable with JavaScript before you start to React. If you are not comfortable with JavaScript check out 30DaysOfJavaScript. This is a continuation of 30 Days Of JS. This challenge may take more than 100 days, follow your own pace.
Yfang1688/algorithm-stone
ACM/LeetCode算法竞赛路线图，最全的算法学习地图！
Yfang1688/awesome-ai-residency
List of AI Residency Programs
Yfang1688/awesome-deep-learning-papers
The most cited deep learning papers
Yfang1688/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
Yfang1688/awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
Yfang1688/awesome-software-architecture
A curated list of awesome articles, videos, and other resources to learn and practice about software architecture, patterns, and principles.
Yfang1688/awesome-workflow-engines
A curated list of awesome open source workflow engines
Yfang1688/bbolt
An embedded key/value database for Go.
Yfang1688/DeepLearningProject
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Yfang1688/flash-linux0.11-talk
你管这破玩意叫操作系统源码 — 像小说一样品读 Linux 0.11 核心代码
Yfang1688/grokking-system-design
Grokking system design
Yfang1688/Hystrix
Hystrix is a latency and fault tolerance library designed to isolate points of access to remote systems, services and 3rd party libraries, stop cascading failure and enable resilience in complex distributed systems where failure is inevitable.
Yfang1688/influential-cs-books
Most influential books on Computer Science/programming
Yfang1688/Interactive_Tools
Interactive Tools for Machine Learning, Deep Learning and Math
Yfang1688/kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
Yfang1688/learngo
1000+ Hand-Crafted Go Examples, Exercises, and Quizzes
Yfang1688/leetcode-1
Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.
Yfang1688/machine-learning-interview
Machine Learning Interviews from FAAG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Yfang1688/machine_learning_complete
A comprehensive repository containing 30+ notebooks on learning machine learning!
Yfang1688/myapp
🐣 How to build a Dockerized RESTful API application using Go.
Yfang1688/oauth-2.0-sdk-with-openid-connect-extensions
Fork of Nimbus OAuth 2.0 SDK with OpenID Connect extensions
Yfang1688/opengrok
OpenGrok is a fast and usable source code search and cross reference engine, written in Java
Yfang1688/papers
Summaries of machine learning papers
Yfang1688/programming-math-science
This is a list of links to different freely available learning resources about computer programming, math, and science.
Yfang1688/start-machine-learning
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
Yfang1688/tech-interview-handbook
💯 Materials to help you rock your next coding interview
Yfang1688/til
:memo: Today I Learned
Yfang1688/www.mlcompendium.com
The Machine Learning & Deep Learning Compendium is an open knowledge-sharing project compiled using Gitbook.
Yfang1688/Yfang1688
Config files for my GitHub profile.