Search Results for "input-output model"

Lapis is a framework for building web applications in Lua (or MoonScript) that primarily targets OpenResty, a high-performance web platform that runs on a customized version of Nginx. Lapis can also be used in other server environments, being compatible with any modern version of Lua. With OpenResty, Lua is run directly inside of the Nginx worker using LuaJIT, giving you the smallest barrier between the webserver and your code. Have a look at Web Framework Benchmarks just to see how...

The ADG library (Automatic Drawing Generation) is a set of functions focused on automating the drawing of mechanical parts. It is not a CAD system but a GObject-based library where a custom application can put common CAD entities such as paths, hatches and dimensions, to automatically create technical drawings. A demo application is provided in order to show the capabilities of the canvas. Although it is possible to interact with the library directly in C (that is what the adg-demo...

char-rnn is a classic codebase for training multi-layer recurrent neural networks on raw text to build character-level language models that learn to predict the next character in a sequence. It supports common recurrent architectures including vanilla RNNs as well as LSTM and GRU variants, letting users compare behavior and output quality across model types. It is straightforward: you provide a single text file, train the model to minimize next-character prediction loss, then sample from the trained network to generate new text one character at a time in the style of the dataset. The project is designed for experimentation, offering tunable settings for depth, hidden size, dropout, sequence length, and sampling temperature to control creativity and coherence. ...