Using Large Language Models for Hyperparameter Optimization

Official implementation for the paper

A curated list of awesome knowledge-driven autonomous driving (continually updated)

An Open-Ended Embodied Agent with Large Language Models

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

PyTorch implementation of adversarial attacks.

Easy-to-use LLM fine-tuning framework (LLaMA, BLOOM, Mistral, Baichuan, Qwen, ChatGLM)

A minimalist environment for decision-making in autonomous driving

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

NeurIPS 2023: Safe Policy Optimization: A benchmark repository for safe reinforcement learning algorithms

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Code for our paper: Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

Learning to Drive with GPT

LLM-guided hyperparameter tuning

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

ROS-LLM is a framework designed for embodied intelligence applications in ROS. It allows natural language interactions and leverages Large Language Models (LLMs) for decision-making and robot contr…

Train your custom LLMs like Llama, baichuan-7b, GPT

[ICLR 2022] Official implementation of the paper "DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR"

Code for ICML2023 accepted paper: Complementary Attention for Multi-Agent Reinforcement Learning.

This repository contains source code necessary to reproduce the results presented in the following paper: Stability Constrained Reinforcement Learning for Real-Time Voltage Control (https://arxiv.o…

Deep Reinforcement Learning for mobile robot navigation, a robot learns to navigate to a random goal point from random moves to adopting a strategy, in a simulated maze environment while avoiding d…

Investigating PINNs