karrin-chen's Stars
ageron/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
ssssssss-team/spider-flow
新一代爬虫平台,以图形化方式定义爬虫流程,不写代码即可完成爬虫。
TheAlgorithms/Python
All Algorithms implemented in Python
ed-lam/bcp-mapf
BCP-MAPF – branch-and-cut-and-price for multi-agent path finding
thomyphan/rl4mapf
Reinforcement Learning for Multi-Agent Path Finding
semitable/robotic-warehouse
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
uoe-agents/robotic-warehouse
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment
yiyuanjichang/dizhi
Cognitive-AI-Systems/mats-lp
[AAAI-2024] MATS-LP addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed approach utilizes a combination of Monte Carlo Tree Search and reinforcement learning for resolving conflicts.
PKU-MARL/HARL
Official implementation of HARL algorithms based on PyTorch.
PKU-MARL/Multi-Agent-Transformer
FFmpeg/FFmpeg
Mirror of https://git.ffmpeg.org/ffmpeg.git
Hillobar/Rope
GUI-focused roop
SuperCrabLover/DQN_For_Pogema
Deep Q-Learning algorithm for Partially-Observable Grid Environment for Multiple Agents
nucleusbiao/Robot-simulation-in-a-warehouse-environment
Task Allocation and Path Planning of Many Robots with Motion Uncertainty in a Warehouse Environment
chan032/warehouse_multi_robot_path_planning
2021 ROS2 프로젝트 : 멀티 물류로봇의 병목현상 완화를 위한 경로 계획
will-em/multi-agent-rollout
Multiagent Rollout with Reshuffling for Warehouse Robots Path Planning
LyapunovJingci/Warehouse_Robot_Path_Planning
A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️
deepfakes/faceswap
Deepfakes Software For All
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
gwding/draw_convnet
Tumiz/py3d
3D simulation in Jupyter
fishros/d2l-ros2
动手学ROS2课程配套教程,欢迎关注公众号《鱼香ROS》
DSXiangLi/DecryptPrompt
总结Prompt&LLM论文,开源数据&模型,AIGC应用
luban-agi/Awesome-AIGC-Tutorials
Curated tutorials and resources for Large Language Models, AI Painting, and more.
phodal/understand-prompt
【🔞🔞🔞 内含不适合未成年人阅读的图片】基于我擅长的编程、绘画、写作展开的 AI 探索和总结:StableDiffusion 是一种强大的图像生成模型,能够通过对一张图片进行演化来生成新的图片。ChatGPT 是一个基于 Transformer 的语言生成模型,它能够自动为输入的主题生成合适的文章。而 Github Copilot 是一个智能编程助手,能够加速日常编程活动。
phodal/aigc
《构筑大语言模型应用:应用开发与架构设计》一本关于 LLM 在真实世界应用的开源电子书,介绍了大语言模型的基础知识和应用,以及如何构建自己的模型。其中包括Prompt的编写、开发和管理,探索最好的大语言模型能带来什么,以及LLM应用开发的模式和架构设计。
Cognitive-AI-Systems/when-to-switch
"When to Switch" Implementation: Addressing the PO-MAPF challenge with RePlan & EPOM policies. This repo includes search-based re-planning, reinforcement learning techniques, and three mixed policies for pathfinding in partially observable multi-agent environments. 🤖🛤️
Menelau/DESlib
A Python library for dynamic classifier and ensemble selection. Note that this repository is just a fork. The original repository is hosted on scikit-learn-contrib: https://github.com/scikit-learn-contrib/DESlib
ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.