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assignment

atguigu

尚硅谷课程学习系列

cs7646

Machine Learning for Trading - QLearner Trader

cse-6242-dataandvisualanalytics

Homework Solutoins to CSE 6242

cse-6242-dva

Georgia Tech Data and Visual Analytics (DVA) - Spring 2020

file-watcher

Multithreaded service watches a directory

githubdemo

gs-accessing-data-mysql

Accessing data with MySQL :: Learn how to set up and manage user accounts on MySQL and how to configure Spring Boot to connect to it at runtime.

hands_on_ml_with_sklearn_and_tf

OReilly Hands On Machine Learning with Scikit Learn and TensorFlow (Sklearn与TensorFlow机器学习实用指南)

java-01

javacoursecodes

JavaCourse

javaguide

「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

javalearn

javaproject

learn_git

leetcode

This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The problems attempted multiple times are labelled with hyperlinks.

machine-learning-for-trading

implementing machine learning based trading strategies on trading

machine-learning-interview

算法工程师-机器学习面试题总结

machine-learning-project-walkthrough

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!

mobile-appium-java

Mobile automated testing using Appium and Java

nn-cuda-example

Several simple examples for popular neural network toolkits calling custom CUDA operators.

quartz-demo

Demo project for Spring Boot 2 and Quartz scheduler integration

share

simple_website

For EC 601 Homework 2

spring-batch-example

spring-boot-quartz-demo

Spring Boot + Quartz + Angular2 demo application. It explains how to schedule a cron job, how to pause a job, resume a job, edit quartz job etc. It used PostgreSQL as database for storing quartz jobs and triggers.

spring-data-jpa

工作上关于spring data jpa 的使用详细总结

videostabilizationpy

An implementation of Google's Auto Directed Video Stabilization with Robust L1 Optimal Camera Paths Research Paper done as a self study to better understand the mechanisms and methods presented in the paper