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This repo includes ChatGPT prompt curation to use ChatGPT better.
A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Tabler is free and open-source HTML Dashboard UI Kit built on Bootstrap
An advanced guide to learn English which might benefit you a lot 🎉 . 离谱的英语学习指南/英语学习教程。
Modern JavaScript Tutorial
A neural network that transforms a design mock-up into a static website.
Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.
Modern C++ Programming Course (C++03/11/14/17/20/23/26)
A collection of resources on modern C++
Open-source developer platform to power your entire infra and turn scripts into webhooks, workflows and UIs. Fastest workflow engine (13x vs Airflow). Open-source alternative to Retool and Temporal.
Free Tailwind CSS components for application UI, ecommerce and marketing with support for dark mode, RTL and Alpine JS 🚀
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Zenbot is a command-line cryptocurrency trading bot using Node.js and MongoDB.
At LinkedIn, we are using this curriculum for onboarding our entry-level talents into the SRE role.
reNgine is an automated reconnaissance framework for web applications with a focus on highly configurable streamlined recon process via Engines, recon data correlation and organization, continuous …
A collection of public resources about how software companies test their software
Application for managing recipes, planning meals, building shopping lists and much much more!
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Free Introduction to Bash Scripting eBook
8 Lessons, Kick-start Your Cybersecurity Learning.
《Software Engineering at Google》的中英文对译版本
🔥 The most advanced open-source online code execution system in the world.
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)