jiaruishao Goto Github PK
Name: Jessie Shao
Type: User
Location: Austin
Name: Jessie Shao
Type: User
Location: Austin
公众号「宫水三叶的刷题日记」刷穿 LeetCode 系列文章源码
Some playgrounds for students to learn some Swift basics
Some playgrounds for students to learn some Swift basics
:fire:Algorithms, 4th Edition SOLUTIONS:fire:
Algorithms, 4th edition textbook code and libraries
Android TensorFlow Lite Machine Learning Example
Front-End JavaScript Frameworks Angular
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Tutorial - Event-Driven Microservices: Spring Boot, Kafka and Elastic - from Ali Gelenler (Udemy)
A curated collection of awesome Regex libraries, tools, frameworks and software
Grokking the coding interview practices
C++ related
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
An editor made for programming with AI 🤖
Data Mining is the process by which useful information is extracted from large amounts of data. This course is designed to provide students with the necessary tools and techniques to perform data mining and business analytics. This course is intended as an introductory module targeted at individuals who plan to work with data (modeling, data management) as well as towards those who will work with data scientists. While the course will primarily focus on modeling and evaluation, it will also include data preparation and examination. Modeling techniques covered include dimension reduction, regression methods, decision trees, clustering, and other ad-hoc methods. Emphasis will be placed on the entire context surrounding data mining beginning with the understanding of business problem and how it translates to data processing, modeling, evaluation and deployment.
Python, R, and Tableau
DL Coursera/Codecademy Notes and Exercise
Deep Learning Specialization by Andrew Ng on Coursera.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
notes of DL Coursera
personal booknotes of Designing Data-Intensive Application
Notebooks for learning deep learning
event-driven-microservice
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
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.