Stars
Papers from the computer science community to read and discuss.
A face authentication system for Ubuntu that works while logging in and running "sudo" commands with a friendly CLI to operate it.
These are the best resources for System Design on the Internet
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
A custom widget to display stats of data made with Jetpack Compose
Contains all the lab files for 6th sem that involves code
A curated list of academic blockchain-related papers
Documenting resources and notes for learning system design.
This repository contains opportunities for you to apply to more than 400 product base companies(NOT JUST FAANGM) & good start-ups.
GirlScript Winter of Contributing is a three-month-long Open-Source Program organized by🧡GirlScript Foundation to create the world's largest multilingual content repository that will be available t…
With AttendO, you can keep a check on your attendance status. Keep accidental low attendances at bay with AttendO and ensure that you are benefited the most out of it.
☁️ Build multimodal AI applications with cloud-native stack
The complete guide to install ERPNext in your Ubuntu system
Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.
100+ Spring Boot Articles, Tutorials, Video tutorials, Projects, Guides, Source code examples etc
Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.
This repo uses three simple services to illustrate how most distributed microservice architecture systems work. We use Go for creating a reverse proxy and Java for service discovery and registering…
Useful Resources for Low Level System Design
Bridge is a web based video conferencing application which bridges the gap between people and connects them online.
Principles of Writing Consistent, Idiomatic JavaScript
This repo will house all our course material and code snippets from the Introduction to Machine Learning Class