Jaaess's Stars
sparsick/k8s-dev-survival-kit-talk
Kubernetes Developer Survival Kit Talk
rfichtner/maven-survival-guide
Code and walkthrough for the talk "Apache Maven survival guide “Bring it on! -Mode” #no-external-tools #only-standard-plugins"
eclipse/microprofile-rest-client
MicroProfile Rest Client
clxering/Effective-Java-3rd-edition-Chinese-English-bilingual
Effective Java(第3版)各章节的中英文学习参考(已完成)
swagger-api/swagger-petstore
jbloch/effective-java-3e-source-code
The source code from the third edition of Effective Java, with minor additions as necessary to make it runnable.
sujith597/DevideAndConquerAlgorithm
A test for how much Divide and Conquer Algorithm faster than normal search for Finding peak
marcusdacoregio/oauth2-spring-boot
Repository from the article published in Medium
openfaas/faas
OpenFaaS - Serverless Functions Made Simple
Jaaess/todomvc
Helping you select an MV* framework - Todo apps for React.js, Ember.js, Angular, and many more
urlaubsverwaltung/urlaubsverwaltung
Schluss mit Papierchaos und langweiliger Software. Wir zeigen dir, dass Urlaubsverwaltung auch Spaß machen kann.
sqshq/piggymetrics
Microservice Architecture with Spring Boot, Spring Cloud and Docker
Netflix/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.
cer/microservices-examples
Examples of microservices
eh3rrera/ocpj8-notes
Notes to study for the OCPJ 8 exam (1Z1-809)
eugenp/tutorials
Getting Started with Spring Boot 3:
tastejs/todomvc
Helping you select an MV* framework - Todo apps for React.js, Ember.js, Angular, and many more
devAmoghS/Machine-Learning-with-Python
Small scale machine learning projects to understand the core concepts . Give a Star 🌟If it helps you. BONUS: Interview Bank coming up..!
yassinhamdaoui/Face_Recognition
#Lets_Do_Face_Recognition OpenCv + Python3 + DataSetgenerator : To make a face recognition program, first we need to train the recognizer with dataset of previously captured faces along with its ID, for example we have two person then first person will have ID 1 that's me (yassine) :p and 2nd person will have ID 2 (my binome) :p , so that all the images of person one in the dataset will have ID 1 and all the images of the 2nd person in the dataset will have ID 2, then we will use those dataset images to train the recognizer to predict the 1 of an newly presented face from the live video frame you find all dependencies in my github , Download it and try it by yourself <3 :
PacktPublishing/Building-Web-Servers-in-Java-
Code Repository for Building Web Servers in Java, published by Packt
facebook/react
The library for web and native user interfaces.
grafana/grafana
The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
Gordiychuk/grafana
The tool for beautiful monitoring and metric analytics & dashboards for Graphite, InfluxDB & Prometheus & More
googlearchive/gwt-google-apis
Automatically exported from code.google.com/p/gwt-google-apis
jni4net/jni4net
Fast, object oriented, intraprocess bridge between JVM and CLR
JKostikiadis/MultiAxisCharts
JavaFX Basic charts with second Y axis and regression support.
jfree/jfreechart
A 2D chart library for Java applications (JavaFX, Swing or server-side).
openxc/uds-c
Unified Diagnostics Service (UDS) and OBD-II (On Board Diagnostics for Vehicles) C Library
bcowgill/bsac-linux-cfg
my useful scripts and linux config
kailashahirwar/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5