Search Results for "deep learning with python"

cheat.sh is a compact, network-accessible cheat-sheet service that serves concise examples and usage notes for hundreds of shell commands, programming languages, and tools via a simple HTTP interface. You can query it from the terminal (for example curl cht.sh/rsync or curl cheat.sh/ls) or browse the web front page; it also supports a shorthand hostname (cht.sh) and provides both online and standalone/local installation modes. The repository contains the server and client code, instructions...

An advanced command-line tool designed to brute force directories and files in webservers, AKA web path scanner. Wordlist is a text file, each line is a path. About extensions, unlike other tools, dirsearch only replaces the %EXT% keyword with extensions from -e flag. For wordlists without %EXT% (like SecLists), -f | --force-extensions switch is required to append extensions to every word in wordlist, as well as the /. To use multiple wordlists, you can separate your wordlists with commas....

Simple command-line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). In true deep learning fashion, more layers will yield better results. Default is at 16, but can be increased to 32 depending on your resources. Technique first devised and shared by Mario Klingemann, it allows you to prime the generator network with a starting image, before being steered towards the text. Simply specify the path to the image you wish to use, and optionally the number of initial training steps. ...

A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Ryan Murdock has done it again, combining OpenAI's CLIP and the generator from a BigGAN! This repository wraps up his work so it is easily accessible to anyone who owns a GPU. You will be able to have the GAN dream-up images using natural language with a one-line command in the terminal. User-made notebook with bug fixes and added features, like google drive integration. Images will be saved to...

This project implements in C++ a bunch of known Neural Networks. So far the project implements: LVQ in several variants, SOM in several variants, Hopfield network and Perceptron. Other neural network types are planned, but not implemented yet. The project can run in two modes: command line tool and Python 7.2 extension. Currently, Python version appears more functional, as it allows easy interaction with algorithms developed by other people.

Adobe Malware Classifier is a command-line tool that lets antivirus analysts, IT administrators, and security researchers quickly and easily determine if a binary file contains malware, so they can develop malware detection signatures faster, reducing the time in which users' systems are vulnerable. Malware Classifier uses machine learning algorithms to classify Win32 binaries – EXEs and DLLs – into three classes: 0 for “clean,” 1 for “malicious,” or “UNKNOWN.” The tool was developed...

Command Line tool to download all images from a tumblr account, with an optional parameter to say how many pages of pictures to download. There are two versions available, one written as a bash script, another as a python script. This was a venture into learning how to use python, so apologies for any issues etc. If you notice any issues or problems, let me know, and I will release an update. Usage is simple, simply place either script into a directory of your choice, and open a terminal (or command prompt.) You then just call the script like so; ....