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a-star-cuda

A* implementation for NVIDIA GPU

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

ad-rss-lib

Library implementing the Responsibility Sensitive Safety model (RSS) for Autonomous Vehicles

algforopt-notebooks

Jupyter notebooks associated with the Algorithms for Optimization textbook

apollo

An open autonomous driving platform

arxivtimes

repository to research & share the machine learning articles

autoware

Open-Source To Self-Driving.

awesome-autonomous-vehicles

Curated List of Self-Driving Cars and Autonomous Vehicles Resources

awesome-robotics-libraries

:sunglasses: A curated list of robotics libraries and software

basiclstm

The aim of this implementation is to help to learn structure of basic LSTM (LSTM cell forward, LSTM cell backward, etc..)

cgold

:whale2: The Hitchhiker’s Guide to the CMake

chauffeurnet

cheatsheets

Official Matplotlib cheat sheets

cpp-stl-algorithms

This repository houses VERY simple example code for each STL algorithm and explains what each does.

cppnd-route-planning-project

cppnd-system-monitor

Student repository for the CppND OOP course project

cuda_examples

cupoch

Robotics with GPU computing

deeprl

Highly modularized implementation of popular deep RL algorithms by PyTorch

extendedtargettrackingtoolbox

A python toolbox for extended target tracking

google-interview-university

A complete daily plan for studying to become a Google software engineer.

gpu_computing_in_robotics

how_to_study_rl

강화학습을 공부하고 싶은 분들을 위한 글

hybridastartrailer

A path planning algorithm based on Hybrid A* for trailer truck

jetson-reinforcement

Deep reinforcement learning GPU libraries for NVIDIA Jetson with PyTorch, OpenAI Gym, and Gazebo robotics simulator.

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

lattice_planner

The lattice_planner package provides a move_base global planner plugin for a time-bounded A* lattice planner. The planner is designed to plan time dependent, dynamically feasible navigation paths for robots with differential drive constraints. It uses a dynamic cost map which is based on the ROS costmap representation from the costmap_2d package.

linux-systems-programming-with-c

free programming book on C, Linux and systems programming

lstm_rnn_tutorials_with_demo

LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow

matlabrobotics

MATLAB sample codes for mobile robot navigation