Clean Code concepts adapted for JavaScript

📜 33 JavaScript concepts every developer should know.

Learn System Design concepts and prepare for interviews using free resources.

A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.

Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).

:scroll: 每个 JavaScript 工程师都应懂的33个概念 @leonardomso

This repository contains a 90-day cybersecurity study plan, along with resources and materials for learning various cybersecurity concepts and technologies. The plan is organized into daily tasks, covering topics such as Network+, Security+, Linux, Python, Traffic Analysis, Git, ELK, AWS, Azure, and Hacking. The repository also includes a `LEARN.md

:bathtub: Clean Code concepts adapted for PHP

Activiti is a light-weight workflow and Business Process Management (BPM) Platform targeted at business people, developers and system admins. Its core is a super-fast and rock-solid BPMN 2 process engine for Java. It's open-source and distributed under the Apache license. Activiti runs in any Java application, on a server, on a cluster or in the cloud. It integrates perfectly with Spring, it is extremely lightweight and based on simple concepts.

Clean Code concepts adapted for TypeScript

Sentry, feature-complete and packaged up for low-volume deployments and proofs-of-concept

A proof-of-concept tool for generating payloads that exploit unsafe Java object deserialization.

Explanation to key concepts in ML

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

:bathtub: Clean Code concepts and tools adapted for .NET

This repository offers a comprehensive collection of tutorials and implementations for Prompt Engineering techniques, ranging from fundamental concepts to advanced strategies. It serves as an essential resource for mastering the art of effectively communicating with and leveraging large language models in AI applications.

Open source rich text editor based on HTML5 and the progressive-enhancement approach. Uses a sophisticated security concept and aims to generate fully valid HTML5 markup by preventing unmaintainable tag soups and inline styles.

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

A web-based demonstration of blockchain concepts.

If you are looking to become a Google Cloud Engineer , then you are at the right place. GCPSketchnote is series where I share Google Cloud concepts in quick and easy to learn format.

A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

Implementation of Instagram with Material Design (originally based on Emmanuel Pacamalan's concept)

一个漏洞 PoC 知识库。A knowledge base for vulnerability PoCs(Proof of Concept), with 1k+ vulnerabilities.

:bathtub: Clean Code concepts adapted for Python

This Repository Contain All the Artificial Intelligence Projects such as Machine Learning, Deep Learning and Generative AI that I have done while understanding Advanced Techniques & Concepts.

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

This project hosts security advisories and their accompanying proof-of-concepts related to research conducted at Google which impact non-Google owned code.

:honeybee: BeeHive is a solution for iOS Application module programs, it absorbed the Spring Framework API service concept to avoid coupling between modules.

ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

adds flavor of interactive filtering to the traditional pipe concept of UNIX shell