#搜索#PaddleNLP 2.0是飞桨生态的文本领域核心库，具备易用的文本领域API，多场景的应用示例、和高性能分布式训练三大特点，旨在提升开发者文本领域的开发效率，并提供基于飞桨2.0核心框架的NLP任务最佳实践。
#自然语言处理#中文情感分析库(Chinese Sentiment))可对文本进行情绪分析、正负情感分析。Text analysis, supporting multiple methods including word count, readability, document similarity, sentiment analysis, Word2Vec .
#自然语言处理#text analysis, supporting multiple methods including word count, readability, document similarity, sentiment analysis, Word2Vec/GloVe, and Large Language Models (LLMs).文本分析包，支持字数统计、可读性、文档相似度、情感分析在内的多种...
#自然语言处理#Open Source REST API for named entity extraction, named entity linking, named entity disambiguation, recommendation & reconciliation of entities like persons, organizations and places for (semi)automa...
Implementing a complete Compiler for a simple C-like language using the C-tools Flex and Bison
HAC Ada Compiler - a small, quick Ada compiler fully in Ada
#前端开发#A compiler that accepts any valid program written in C. It is made using Lex and Yacc. Returns a symbol table, parse tree, annotated syntax tree and intermediate code.
#自然语言处理#[EMNLP 2021] LingFeat - A Comprehensive Linguistic Features Extraction ToolKit for Readability Assessment
Swift type checking and semantic analysis for developer tools
#大语言模型#A Model Context Protocol (MCP) server that provides advanced code analysis and reasoning capabilities powered by Google's Gemini AI
Semantic analyzer library for compilers written in Rust for semantic analysis of programming languages AST
GANalyzer: Analysis and Manipulation of GANs Latent Space for Controllable Face Synthesis
A simple interpreter for a large subset of Pascal language written for educational purposes
#计算机科学#A python client for connecting to all the services provided by https://dandelion.eu
Wikipedia-based Explicit Semantic Analysis, as described by Gabrilovich and Markovitch
#计算机科学#A powerful relational representation of source code
LL1 parser written in Python
#自然语言处理#Use GPT-3 to process human conversations and extract context, identify information that would be useful, and suggest data sources to get that information. Intended for a voice assistant.