syntax-tree

Python Abstract Syntax Tree viewer in Qt

Universal Information Extraction, codes for the NeurIPS-2022 paper: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model.

Bare essentials for building abstract syntax trees, and skeleton classes for PLY lexers and parsers.

Defect prediction of java projects using neural networks.

Sublime Text 3 plugin for voice coding Python 3

Computing with sed: a compiler from python to sed

Print lovely formatted truth tables from any boolean logic expression!

Top-down packrat parser with support of direct and indirect left recursive grammars.

Fast program graph generation in Python

GladLang is a dynamic, interpreted, object-oriented programming language with a full interpreter built in Python. Features closures, classes, inheritance, and robust error handling.

Desktop app for visualizing parse tree , abstract syntax tree , action table , parse table for any valid LL1 grammar.

Canonical AST, the only Abstract Syntax Tree you need, with importers+exporters to all languages

This repository contains the core components of our Recursive Student Programming Language Compiler Construction and Design project. The project aims to implement a complete compiler, including lexical analysis, parsing, semantic analysis, and code generation.

This project convert a regular expression directly to a DFA

Performs normal form conversions of propositional formulas through the use of syntax trees, and provides 3 sat-solver algorithms with verifiable step-by-step output.

4 Course specialization by Rice university, intended for beginners who would like to master essential programming skills providing a solid foundation towards a career in data science, software engineering, or other disciplines involving programming.

A simple regex compiler which converts the regular expression into a dfa which can be simulated to check if a string matches the pattern...

A Python AST visualizer & static analyzer.

Compiler Project on Python

This is a minimal, from-scratch implementation of a scalar-valued automatic differentiation (autograd) engine and a small neural network library built on top of it. It follows the ideas behind Andrej Karpathy's micrograd, rebuilt line by line to actually understand how backpropagation works — not just call it.