A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
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A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
A collection of various awesome lists for hackers, pentesters and security researchers
PyTorch Tutorial for Deep Learning Researchers
A playbook for systematically maximizing the performance of deep learning models.
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
TranslatedMy research experience
Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5
Natural Language Processing Tutorial for Deep Learning Researchers
Defund the Police.
Welcome to the page where you will find each trick/technique/whatever I have learnt in CTFs, real life apps, and reading researches and news.
A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!
Research on Coding Agents
TranslatedStarting from 0, master the basic process of doing research and writing papers.
A curated list of awesome YARA rules, tools, and people.
:articulated_lorry: Awesome CAN bus tools, hardware and resources for Cyber Security Researchers, Reverse Engineers, and Automotive Electronics Enthusiasts.
A collection of tools developed by other researchers in the Computer Science area to process network traces. All the right reserved for the original authors.
Quantitative analysis, strategies and backtests
List of articles related to deep learning applied to music
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
:seedling: a curated list of tools to help you with your research/life; I built a front end around this repo, please use the link below [This repo is deprecated. Instead, I maintain all the contents using the following website]
A collection of research papers on decision, classification and regression trees with implementations.
A curated list of community detection research papers with implementations.
Resources on the topic of digital morphogenesis (creating form with code). Includes links to major articles, code repos, creative projects, books, software, and more.