Anthony Carrillo's repositories
serverless
⚡ Serverless Framework – Build web, mobile and IoT applications with serverless architectures using AWS Lambda, Azure Functions, Google CloudFunctions & more! –
atom
:atom: The hackable text editor
Catch2
A modern, C++-native, header-only, test framework for unit-tests, TDD and BDD - using C++11, C++14, C++17 and later (or C++03 on the Catch1.x branch)
listmonk
High performance, self-hosted newsletter and mailing list manager with a modern dashboard. Single binary app.
esbuild
An extremely fast JavaScript bundler and minifier
nyxt
Nyxt - the internet on your terms.
mathlib
Lean mathematical components library
docusaurus
Easy to maintain open source documentation websites.
graphql-engine
Blazing fast, instant realtime GraphQL APIs on Postgres with fine grained access control, also trigger webhooks on database events.
capacitor
Build cross-platform Native Progressive Web Apps for iOS, Android, and the Web ⚡️
strapi
🚀 Open source Node.js Headless CMS to easily build customisable APIs
fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
gleam
⭐️ A type safe language for the Erlang VM
react-hook-form
📋 React Hooks for forms validation (Web + React Native)
Reddit-Stock-Trends
Fetch currently trending stocks on Reddit
C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
pi-hole
A black hole for Internet advertisements
manim
Animation engine for explanatory math videos
ticker
Terminal stock ticker with live updates and position tracking
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
bigwatermelon
合成大西瓜源码,修改版
deskreen
Deskreen turns any device with a web browser to a second screen for your computer
react-query
⚛️ Hooks for fetching, caching and updating asynchronous data in React
next.js
The React Framework
Python
All Algorithms implemented in Python
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning