Popular GitHub Repositories for Grammar Rules

? Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of models, rules, prompts, docs, and other building blocks

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Rules and Knowledge to work better with agents such as Claude Code or Cursor

Scalable Multi-modal RAG platform

Learn Japanese grammar with TypeScript

The world's smartest system-wide grammar assistant; a better version of the Apple Intelligence Writing Tools. Works on Windows, Linux, & macOS, with the free Gemini API, local LLMs, & more.

Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level

Interpretable ML package ? for concise, transparent, and accurate predictive modeling (sklearn-compatible).

A fast, low-resource Natural Language Processing and Text Correction library written in Rust.

A chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.

Rewriting a Deep Generative Model, ECCV 2020 (oral). Interactive tool to directly edit the rules of a GAN to synthesize scenes with objects added, removed, or altered. Change StyleGANv2 to make extravagant eyebrows, or horses wearing hats.

Context Free is a program that generates images from written instructions called a grammar. The program follows the instructions in a few seconds to create images that can contain millions of shapes.

The CMU Link Grammar natural language parser

Python Kaldi speech recognition with grammars that can be set active/inactive dynamically at decode-time

RXNMapper: Unsupervised attention-guided atom-mapping. Code complementing our Science Advances publication on "Extraction of organic chemistry grammar from unsupervised learning of chemical reactions" (https://advances.sciencemag.org/content/7/15/eabe4166).

Efficient and general syntactical decoding for Large Language Models

This repository contains Cursor Security Rules designed to improve the security of both development workflows and AI agent usage within the Cursor environment. These rules aim to enforce safe coding practices, control sensitive operations, and reduce risk in AI-assisted development.

Save, load, distribute your AI rules

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

RuLES: a benchmark for evaluating rule-following in language models