🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
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Updated
Oct 29, 2025 - Python
🏛️A research-friendly codebase for fast experimentation of single-agent reinforcement learning in JAX • End-to-End JAX RL
A comprehensive collection of production-ready AI agent applications featuring single agents, multi-agent teams, and autonomous game-playing systems built with Phidata, CrewAI, LangChain, and Google ADK using OpenAI, Anthropic, Google, and open-source LLMs.
This repository contains code, resources, and documentation for the workshop "Building a Multi-Agent Workforce with Azure AI Foundry".
🧠 Automate literature reviews using LangChain and Google's Generative AI. This project fetches papers via the Papers with Code API, extracts content from PDFs, and generates concise summaries to streamline academic research.
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