Popular GitHub Repositories for Behavioral 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.

Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA

Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.

Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT in Prague.

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

Exploiting Bitcoin prices patterns with Deep Learning.

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

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

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

Official implementation of Implicit Behavioral Cloning, as described in our CoRL 2021 paper, see more at https://implicitbc.github.io/

A Japanese (Riichi) Mahjong AI Framework

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

Be Driven ?

?[ICLR'25] LLaRA: Supercharging Robot Learning Data for Vision-Language Policy

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.

: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..

Utility for behavioral and representational analyses of Language Models