Search Results for "ofn-layer-modes"

...Built around an intuitive set of commands and a Lua API, the plugin allows users to extract and inline variables or functions, pull blocks of code into new files, and modify code structure without leaving the comfort of Neovim’s modal interface. It integrates with built-in Neovim selection modes and can work with third-party tools like Telescope to present refactoring options quickly, enabling rapid transformation of code patterns. Beyond pure refactor actions, the plugin includes debugging helpers that insert print statements or remove them, aiding developers in tracing program flow and inspecting variable states as part of iterative development.

...By orienting core game logic around services and controllers, developers will inherit cleaner organization across codebases and easier maintainability. Services and controllers are easy to create, and provide a built-in networking layer. Knit automatically provides networking between the client and services. Since Knit handles the networking infrastructure, developers are not left with the burden of manually creating RemoteEvent and RemoteFunction objects throughout the hierarchy. Each service has the ability to expose specific endpoints to the client through declarative code.

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. ...