《Agentic Design Patterns》中文翻译版

LLM-OptiRA: Leveraging LLMs to solve non-convex resource allocation challenges in wireless communication with automation, robustness, and high efficiency.

A multi-agent reinforcement learning framework for optimizing coverage and connectivity in Space-Air-Ground integrated networks. This project simulates and trains intelligent agents to coordinate s…

Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

LLM powered multi-agent simulation framework for resource management system

LLM Benchmark for O-RAN

Code for EMNLP.findings “SRAP-Agent: Simulating and Optimizing Scarce Resource Allocation Policy with LLM-based Agent”

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Release for Improved Denoising Diffusion Probabilistic Models