jiaruishao,Jessie Shao,github

67443_swift_intro_f20

Some playgrounds for students to learn some Swift basics

67443_swift_intro_f20-1

Some playgrounds for students to learn some Swift basics

algorithms4

:fire:Algorithms, 4th Edition SOLUTIONS:fire:

algs4

Algorithms, 4th edition textbook code and libraries

android-tensorflow-lite-example

Android TensorFlow Lite Machine Learning Example

annotated_deep_learning_paper_implementations

🧑‍🏫 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, ... 🧠

art-gelenler-event-driven

Tutorial - Event-Driven Microservices: Spring Boot, Kafka and Elastic - from Ali Gelenler (Udemy)

awesome-regex

A curated collection of awesome Regex libraries, tools, frameworks and software

bank-rest

cmu-15121

coding-patterns

Grokking the coding interview practices

cpp

C++ related

cs-notes

: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++

cursor

An editor made for programming with AI 🤖

data-mining-r

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.