Project N.O.M.A.D, is a self-contained, offline survival computer packed with critical tools, knowledge, and AI to keep you informed and empowered—anytime, anywhere.

Extracted payloads from the main repo

Creates a new drive for Xbox consoles or adds missing permissions.

Скачивание видео с RuTube, Vk, Ok, Aser, Vimeo на NodeJS

Command-line program to download videos from YouTube.com and other video sites

AIO HEN payload

Multi-platform application to write data to a socket at a specified IP/hostname/domain and port.

PS5 jailbreak via the Y2JB. Ports Gezine's p2jb kqueueex cr_ref overflow

NetcatGUI is a simple GUI program that is set to emulate the popular network "swiss army knife" tool netcat (nc) using an easy to use graphical user interface and cross platform availability.

Y2JB is userland code execution using PS5 Youtube app

Papers from the computer science community to read and discuss.

A collection of various awesome lists for hackers, pentesters and security researchers

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

Tiny, Fast, and Deployable anywhere — automate the mundane, unleash your creativity

A curated list of awesome AI tools, libraries, papers, datasets, and frameworks that accelerate scientific discovery — from physics and chemistry to biology, materials, and beyond.

Experimental and calculated small molecule hydration free energies

Repository containing a benchmark dataset for machine learning property prediction of photoswitch molecules: https://pubs.rsc.org/en/content/articlehtml/2022/sc/d2sc04306h

open data sets for machine learning pertaining to porous materials

Advanced Chemical Engineering Thermodynamics

A curated list of online chemical engineering education resources

A curated list of Cheminformatics libraries and software.

overview of datasets for ML in chemistry

🏆 A ranked list of awesome atomistic machine learning projects ⚛️🧬💎.

Matbench: Benchmarks for materials science property prediction

Crystal graph convolutional neural networks for predicting material properties.

MatterSim: A deep learning atomistic model across elements, temperatures and pressures.

MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.

mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding