This project is dedicated to collecting high-quality macOS software and organizing them systematically by different categories for easy search and use.
- macos
- software
- mac
- mac-osx
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This project is dedicated to collecting high-quality macOS software and organizing them systematically by different categories for easy search and use.
A hand-picked collection of the finest of resources for the most awesome of agents, Claude Code, the undisputed champion of coding companions, from the unstoppable team at Anthropic PBC (no affiliation). A delectable showcase of top tier skills, ambidextrous agents, scintillating status lines, top notch developer tooling, and also we have plugins
Manually curated collection of resources for frontend web developers.
A playbook for systematically maximizing the performance of deep learning models.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Self-Hosting Guide. Learn all about locally hosting (on premises & private web servers) and managing software applications by yourself or your organization. Including Cloud, LLMs, WireGuard, Automation, Home Assistant, and Networking.
A guide on how to be a Programmer - originally published by Robert L Read
A showcase of problems once hard or impossible to solve with CSS alone, now made trivially easy with Flexbox.
Translated:star:Github Ranking:star: Github stars and forks ranking list. Github Top100 stars list of different languages. Automatically update daily. | Github repository ranking, automatically updated daily
Code documentation written as code! How novel and totally my idea!
How to systematically secure anything: a repository about security engineering
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
A curated list of hacking environments where you can train your cyber skills legally and safely
Potentially dangerous files
A repository of resources about public speaking, specifically in the context of software development and IT conferences.
Learn about a type of vulnerability that specifically targets machine learning models
Starter app for Flutter that includes many different production app features; some not typically included in demo apps.
Awesome list of AI reverse engineering and rebuilds: what AI agents took apart and recreated, and which ones really used REA (Reverse Engineer Anything).
A really simple ServiceWorker example, designed to be an interactive introduction to ServiceWorker
Find primary sources online and learn how to research history digitally.
A handful of things that were helpful to me, or that I developed with other allies, while working at Etsy.
SPARK by Example is an adaptation of ACSL by Example for SPARK 2014, a programming language which is a formally verified subset of Ada
(THIS IS THE PUBLIC VERSION) Muse-by-Meta usage audit companion designed for those who want to understand Muse’s actions during a multi-step task without pretending to have telemetry they can’t actually access.Check out Muse, your personal AI agent. Code: 5F2V31 https://muse.ai/join