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adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

adversarial-robustness-toolbox

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

autogpt

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.

awesome-knowledge-driven-ad

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

cama

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

chatglm-6b

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

counterfactual-regret-minimization-for-anti-jamming-game-of-frequency-agile-radar

crewai

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

dab-detr

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

dynamic_logistics_warehouse

Gazebo simulation of dynamics environment in warehouses.

external-attention-pytorch

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

gpt-driver

Learning to Drive with GPT

highwayenv

A minimalist environment for decision-making in autonomous driving

informarl

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

llama-factory

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

llm-guided-automl

LLM-guided hyperparameter tuning

llm-hyperopt

Using Large Language Models for Hyperparameter Optimization

physics-informed-neural-networks

Investigating PINNs

robosuite

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

robot-navigation-using-deep-reinforcement-learning

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 dynamic obstacles.

ros-llm

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 control. With an easy configuration process, this framework allows for swift integration, enabling your robot to operate with it in as little as ten minutes.

safe-policy-optimization

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

ssa-rl

stable-ddpg-for-voltage-control

Official implementation for the paper

stablerl_voltagectrl

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.org/pdf/2109.14854.pdf)

train_custom_llm

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

ultralytics

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

voltage-control

voyager

An Open-Ended Embodied Agent with Large Language Models

warehouse_gazebo