scw318's starred repositories
Line-Segment-Detection-Papers
Line segment detection papers
pole-localization
Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments
SensorsCalibration
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
hand_eye_calibration
Python tools to perform time-synchronization and hand-eye calibration.
DeepLabCut
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
groundgrid
Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"
modern-cpp-tutorial
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
SciencePlots
Matplotlib styles for scientific plotting
DB-Football
A Simple, Distributed and Asynchronous Multi-Agent Reinforcement Learning Framework for Google Research Football AI.
pytorch_DGN
The pytorch implementation of DGN on grid world and Starcraft
PathPlanning
Common used path planning algorithms with animations.
Soft-Actor-Critic-and-Extensions
PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.
deep_control
Deep Reinforcement Learning for Continuous Control in PyTorch
MARL-MA_gym
在ma_gym环境复现强化学的COMA Qmix和自己改进的代码(In the MA_GYM environment to reproduce the enhanced COMA Qmix and their own improved code)
Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
DQN_MADDPG_practice
RL projects including implementation of DQN/DDPG/MADDPG/BicNet on StarCraft II multi-agent learning environment SMAC
attention-learn-to-route
Attention based model for learning to solve different routing problems
marl_transfer
Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)