elvanselvano

gin

Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

system-design-101

Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

spring-framework

Spring Framework

nuxt

The Intuitive Vue Framework.

starship

☄🌌️ The minimal, blazing-fast, and infinitely customizable prompt for any shell!

gorm

The fantastic ORM library for Golang, aims to be developer friendly

carbon-lang

Carbon Language's main repository: documents, design, implementation, and related tools. (NOTE: Carbon Language is experimental; see README)

ruff

An extremely fast Python linter and code formatter, written in Rust.

Rectangle

Move and resize windows on macOS with keyboard shortcuts and snap areas

bruno

Opensource IDE For Exploring and Testing Api's (lightweight alternative to postman/insomnia)

air

☁️ Live reload for Go apps

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

catppuccin

😸 Soothing pastel theme for the high-spirited!

mlops-zoomcamp

Free MLOps course from DataTalks.Club

fastfetch

An actively maintained, feature-rich and performance oriented, neofetch like system information tool.

low-level-design-primer

Dedicated Resources for the Low-Level System Design. Learn how to design and implement large-scale systems. Prep for the system design interview.

Brooklyn

🍎 Screensaver inspired by Apple's Event on October 30, 2018

ml-interviews-book

https://huyenchip.com/ml-interviews-book/

homebrew-cask-upgrade

A command line tool for upgrading every outdated app installed by Homebrew Cask

connector-x

Fastest library to load data from DB to DataFrames in Rust and Python

re-data

re_data - fix data issues before your users & CEO would discover them 😊

scikit-learn-intelex

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

lineapy

Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.

split-folders

🗂 Split folders with files (i.e. images) into training, validation and test (dataset) folders

basecamp

where geeks hangout and discuss about data engineering

ParkingLot

Parking lot design using Python

pycon_ml_serving

streamlit-whisper

empowering the visually impaired with equal financial access through artificial intelligence

Transfer-Learning-from-Self-Supervised-CNNs-using-PyTorch