Kim-wang's repositories
scoutrobot
We have successfully implemented the autonomous navigation of UAV with our custom python node using LiDAR ; 2D mapping with Hector SLAM and 3D mapping using Octomap algorithms in the ROS simulation environment. We also implemented an algorithm to manage the battery life of the UAV though which the UAV can use to return home when the battery-level drops down to a certain percentage.
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
apollo
An open autonomous driving platform
awesome-point-cloud-analysis
A list of papers and datasets about point cloud analysis (processing)
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
CppRobotics
cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control
Crowd-aware-Robot-Navigation-with-Attention-based-Deep-Reinforcement-Learning
[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
Curiosity-driven-Exploration-for-Deep-Reinforcement-Learning
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
deeplearning-models
A collection of various deep learning architectures, models, and tips
House3D
a Realistic and Rich 3D Environment
HouseExpo
HouseExpo: A Large-scale 2D Indoor Layout Dataset
industry-machine-learning
A curated list of applied machine learning and data science notebooks and libraries across different industries.
interview_internal_reference
2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
Learned-Map-Prediction-for-Enhanced-Mobile-Robot-Exploration
Open-source modules for ICRA 2019 submission "Learned Map Prediction for Enhanced Mobile Robot Exploration"
Learning-to-Navigate-in-Cities-Without-a-Map
A C++/Python implementation of the StreetLearn environment based on images from Street View, as well as a TensorFlow implementation of goal-driven navigation agents solving the task published in “Learning to Navigate in Cities Without a Map”, NeurIPS 2018
Motion-Planning-Among-Dynamic-Decision-Making-Agents-with-Deep-Reinforcement-Learning
M. Everett, Y. Chen, and J. P. How, "Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
ray
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
RobLearn
ROS Robotic Deep Learning
suCAM
A GCode generation tool for 3D printing reinforcement fiber.
Using-RGB-Image-as-Visual-Input-for-Mapless-Robot-Navigation
Using RGB Image as Visual Input for Mapless Robot Navigation ||| Learning to Navigate in Indoor Environments: from Memorizing to Reasoning
zero-shot-visual-imitation-by-self-supervised-exploration
[ICLR 2018] TensorFlow code for zero-shot visual imitation by self-supervised exploration