Easy-to-use and powerful LLM and SLM library with awesome model zoo.
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Updated
Sep 25, 2025 - Python
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
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 .
cntext 是一个专为社会科学实证研究设计的中文文本分析 Python 库。它不仅提供传统的词频统计和情感分析,还支持词嵌入训练、语义投影计算等高级功能,帮助研究者从大规模非结构化文本中测量抽象构念——如态度、认知、文化观念与心理状态。
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)automatic semantic tagging & analysis of documents by linked data knowledge graph like SKOS thesaurus, RDF ontology, database(s) or list(s) of names
This is an implementation of a compiler for a simple C-like language that uses the C tools Flex and Bison.
HAC Ada Compiler - a small, quick Ada compiler fully in Ada
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.
[EMNLP 2021] LingFeat - A Comprehensive Linguistic Features Extraction ToolKit for Readability Assessment
A Model Context Protocol (MCP) server that provides advanced code analysis and reasoning capabilities powered by Google's Gemini AI
Swift type checking and semantic analysis for developer tools
Toy compiler
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
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
A powerful relational representation of source code
LL1 parser written in Python
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.
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