kikitian Goto Github PK

cmake-tutorial

CMake 官方教程

cmpcc

CMPCC: Corridor-based Model PredictiveContouring Control for Aggressive Drone Flight

comtrajpattern

A papers hub.

conscious-planning

Implementation for paper "A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning".

control-toolbox

The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control

conv-social-pooling

Code for model proposed in: Nachiket Deo and Mohan M. Trivedi,"Convolutional Social Pooling for Vehicle Trajectory Prediction." CVPRW, 2018

cplusplusthings

C++那些事

cppdesignpattern

C++设计模式实现，Qt项目

cpprobotics

cpp implementation of robotics algorithms including localization, mapping, SLAM, path planning and control

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

csv

CSV for Modern C++

d-star-lite

Python implementation of D* Lite with interactive visualizer for grid path-planning example

d_star_pathplanning

Simple Matlab implementation of D*Lite, Focussed D*, A*, for dynamic path planning for mobile robots

data-structures-and-algorithm-in-c

ADT include linked list, stack,queue,tree,etc.

dataset-api

The ApolloScape Open Dataset for Autonomous Driving and its Application.

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deeplearning

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

densetnt

detection-pytorch-notebook

代码 -《深度学习之PyTorch物体检测实战》

dig-into-apollo

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

drl_path_planning

This is a DRL(Deep Reinforcement Learning) platform built with Gazebo for the purpose of robot's adaptive path planning.

dsp

Trajectory Prediction with Graph-based Dual-scale Context Fusion

eband_local_planner

ROS Local planner based on the eband approach. Based on the original implementation by Christian Connette and Bhaskara Marathi. This local planner has been adapted primarily for differential drive robots, but still supports the original holonomic drive controls.

epsilon

ethzasl_mav_px4

PX4 Autopilot Software

ewok

Ewok: Real-Time Trajectory Replanning for MAVs using Uniform B-splines and 3D Circular Buffer