Search Results for "learning"

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...

...It connects to popular online movie databases to fetch metadata such as titles, release dates, ratings, genres, casts, posters, and plot summaries, presenting all of that in a concise, text-friendly format suitable for terminals or scripts. Users can search by keyword, year, or exact title and then drill into detailed views for individual films, making it useful for creating watchlists, learning more about films before watching, or integrating movie lookup into shell workflows. CineCLI also supports paginated results and filters so users can navigate large search outputs without overwhelming their screens. Because it runs entirely from the command line, it’s ideal for developers, movie enthusiasts in headless environments, or anyone who prefers text-based tools over web browsers.

http-server is a simple, zero-configuration command-line static HTTP server. It is powerful enough for production usage, but it's simple and hackable enough to be used for testing, local development and learning. You will be prompted with a few questions after entering the command. Use 127.0.0.1 as value for Common name if you want to be able to install the certificate in your OS's root certificate store or browser so that it is trusted. If you wish to use a passphrase with your private key you can include one in the openssl command via the -passout parameter (using password of foobar)

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. ...

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.

Climate is the ultimate command-line tool for Linux. It provides a huge number of command-line options for developers to automate their Linux system. This tool can be extremely helpful in learning various unix commands too. There is an option to print each command before they're executed to help you memorize them over time.

...Building realtime apps now requires understanding and manually orchestrating multiple systems across the software stack, understanding distributed stream processing, and learning how to deploy and scale realtime systems. The learning curve is quite steep, and most of the initial work involves boilerplate code that is far removed from the primary task of building a realtime app.

analyzematrix is a command line tool for learning detailed information about a matrix including its inverse, determinant, eigenvalues, eigenvectors, and singular value decomposition.