Automated auditing, performance metrics, and best practices for the web.
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Automated auditing, performance metrics, and best practices for the web.
Python sample codes and textbook for robotics algorithms.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A list of AI autonomous agents
:scream: A curated list of amazingly awesome OSINT
This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Translatedabout learning Spring Boot via examples. Spring Boot tutorials and tech stack example code, quick and easy tutorials to get started.
TranslatedA collection of resources related to live streaming sources 📺 💯 IPTV, M3U — wash your hands often, wear a mask, and may everyone be immune to every poison
A collection of tips to help take your CSS skills pro. 🕹
:memo: An awesome Data Science repository to learn and apply for real world problems.
A simple guide to HTML <head> elements
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
100+ Python challenging programming exercises
If you want to become good at AI engineering & system design, join this newsletter 👇
🎨 A curated list of delightful VS Code packages and resources.
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome actions to use on GitHub
Translated:see_no_evil: Programmer job-hunting blacklist: be careful when changing jobs or becoming a technical co-founder. Updated with 有赞 (Youzan)
Curated list of Go design patterns, recipes and idioms
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)