Library to solve Traveling Salesperson Problems with pure Python code

Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".

This is a repository of RALM surveys containing a summary of state-of-the-art RAG and other technologies

Awesome papers involving LLMs in Social Science.

Automated Design of Agentic Systems

Generative Agents: Interactive Simulacra of Human Behavior

A deep reinforcement learning (DRL) based approach for slum upgrading. (KDD' 23)

AI Agent as Urban Planner: Steering Stakeholder Dynamics in Urban Planning via Consensus-based Multi-Agent Reinforcement Learning

[ICML'24 Spotlight] "TravelPlanner: A Benchmark for Real-World Planning with Language Agents"

Community list of data & technology resources concerning the built environment and communities. 🏙️🌳🚌🚦🗺️

OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

Gallery of OSMnx tutorials, usage examples, and feature demonstations.

A deep reinforcement learning (DRL) based approach for spatial layout of land use and roads in urban communities. (Nature Computational Science)

🐝 GPTSwarm: LLM agents as (Optimizable) Graphs

Official Implementation of Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with Agent Team Optimization

[ACL 2024] Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology View

VELMA agent for VLN in Street View

CityBench: Evaluating the Capabilities of Large Language Model as World Model

Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs. Empirical tricks for LLM Jailbreaking.

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ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs

A Pytorch implementation of Sparsely-Gated Mixture of Experts, for massively increasing the parameter count of language models

Pytorch Implementation of the sparse attention from the paper: "Generating Long Sequences with Sparse Transformers"

[NeurIPS 2023] Official implementation of "PreDiff: Precipitation Nowcasting with Latent Diffusion Models"