vimde's Stars
brettwooldridge/HikariCP
光 HikariCP・A solid, high-performance, JDBC connection pool at last.
crate/crate
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
questdb/questdb
QuestDB is an open source time-series database for fast ingest and SQL queries
UniversalMediaServer/UniversalMediaServer
A DLNA, UPnP and HTTP(S) Media Server.
apache/shardingsphere
Distributed SQL transaction & query engine for data sharding, scaling, encryption, and more - on any database.
apache/skywalking
APM, Application Performance Monitoring System
sirupsen/napkin-math
Techniques and numbers for estimating system's performance from first-principles
vasanthv/talk
Group video call for the web. No signups. No downloads.
ardalis/DDD-NoDuplicates
Some design approaches to enforcing a business rule requiring no duplicates. Domain driven design.
rust-lang/rustlings
:crab: Small exercises to get you used to reading and writing Rust code!
florinpop17/app-ideas
A Collection of application ideas which can be used to improve your coding skills.
eon01/kubernetes-workshop
⚙️ A Gentle introduction to Kubernetes with more than just the basics. 🌟 Give it a star if you like it.
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
davidetaibi/Microservices_Project_List
A curated List of project that migrated to microservices
Pivotal-Open-Source-Hub/StockInference-Spark
Stock inference engine using Spring XD, Apache Geode / GemFire and Spark ML Lib.
open-guides/og-aws
📙 Amazon Web Services — a practical guide
alex/what-happens-when
An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"
Yorko/stanford_cs231n_2019
Solutions and comments to assignments for 2019 Stanford's course on convolutional neural networks
andkret/Cookbook
The Data Engineering Cookbook
aphyr/distsys-class
Class materials for a distributed systems lecture series
zerotodeeplearning/ztdl-5-day-bootcamp
Zero to Deep Learning Bootcamp
PacktPublishing/Machine-Learning-for-Finance
Machine Learning for Finance, published by Packt
pingcap/talent-plan
open source training courses about distributed database and distributed systems
PacktPublishing/Python-Machine-Learning-By-Example
Python Machine Learning By Example, published by Packt
PacktPublishing/Mastering-Spring-Cloud
Mastering Spring Cloud, published by Packt
hse-aml/natural-language-processing
Resources for "Natural Language Processing" Coursera course.
aapatel09/handson-unsupervised-learning
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
PacktPublishing/-Data-Stream-Development-with-Apache-Spark-Kafka-and-Spring-Boot
Data Stream Development with Apache Spark, Kafka and Spring Boot by Packt Publishing
iamtrask/Grokking-Deep-Learning
this repository accompanies the book "Grokking Deep Learning"
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.