Search Results for "word prediction software"

Super fast git decorations implemented purely in lua/teal. Signs for added, removed, and changed lines. Asynchronous using luv. Navigation between hunks. Stage hunks (with undo). Preview diffs of hunks (with word diff). Customizable (signs, highlights, mappings, etc). Status bar integration. Git blame a specific line using virtual text. Hunk text object. Automatically follow files moved in the index. Live intra-line word diff. Ability to display deleted/changed lines via virtual lines....

The torch-rnn project is a lightweight and efficient implementation of recurrent neural networks built on the Torch framework, focusing on flexibility and reusability for sequence modeling tasks. It provides implementations of standard RNNs and long short-term memory networks, enabling users to train models for tasks such as text generation, language modeling, and sequence prediction. The repository emphasizes simplicity and performance, offering a streamlined pipeline for preprocessing...

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...

The software resents an executable specification language based on deterministic finite automata, this allows the user to perform tests of word recognition in the state machines that are defined by it. Moreover, it’s possible for the user to assign snippets of code to be executed every transition automaton, these snippets can be described in Lua or PHP programming language.