Popular GitHub Repositories for Linguistic Patterns

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.

Build effective agents using Model Context Protocol and simple workflow patterns

An open source framework for building AI-powered apps with familiar code-centric patterns. Genkit makes it easy to develop, integrate, and test AI features with observability and evaluations. Genkit works with various models and platforms.

RAG architecture: index and query any data using LLM and natural language, track sources, show citations, asynchronous memory patterns.

Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".

INTERSPEECH 2023-2024 Papers: A complete collection of influential and exciting research papers from the INTERSPEECH 2023-24 conference. Explore the latest advances in speech and language processing. Code included. Star the repository to support the advancement of speech technology!

Exploiting Bitcoin prices patterns with Deep Learning.

AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.

? Перевод книги Антонио Гулли - Agentic Design Patterns: Практическое руководство по созданию интеллектуальных систем

A community-driven knowledge base of practical patterns for Effect-TS.

Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo

PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation).

Exploring attention weights in transformer-based models with linguistic knowledge.

A comprehensive collection of AI development patterns for building software with AI assistance, organized by implementation maturity and development lifecycle phases. Includes Foundation, Development, and Operations patterns with practical examples and anti-patterns.

Code for "Aligning Linguistic Words and Visual Semantic Units for Image Captioning", ACM MM 2019

Repository demonstrating best practices and patterns for implementing agentic workflows in Python, featuring modular, scalable, and reusable design patterns for intelligent automation.

?️ Blueprint-driven Claude Code autopilot. Smart preparation over endless iterations - AI analyzes patterns, creates solid implementation plans, delivers working code in 15 minutes.

:star: Java code samples. for example, java core, spring ecosystem, database and persistence layer framework, microservices, software testing, reactive programming, design patterns, shell, docker, etc..

FFmpeg bindings for Node.js. Features both low-level and high-level APIs, full hardware acceleration, TypeScript support, and modern async patterns

[BEA @ ACL 2023] General-purpose tool for linguistic features extraction; Tested on readability assessment, essay scoring, fake news detection, hate speech detection, etc.