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meng216073's Projects

cppad icon cppad

A C++ Algorithmic Differentiation Package: Home Page

cppsnake icon cppsnake

A simple C++ implementation of Snake, using the scape and keys terminal and keyboard input libraries, respectively

cs-notes icon 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++

deeplearning-500-questions icon 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18个章节,50余万字。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

deeplearning_notes_cv icon deeplearning_notes_cv

:notebook: tensorflow,keras、python、numpy、matplotlib、scikit-learn、python image processing and so on

dig-into-apollo icon dig-into-apollo

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

dijkstras-algorithm icon dijkstras-algorithm

Finding the shortest path from source to destination using Dijkstra's Algorithm. In this c++ STL is used to implement several other data structures which help in doing the task.

dqn icon dqn

Deep-Q-Network reinforcement learning algorithm applied to a simple 2d-car-racing environment

dqn-1 icon dqn-1

Deep Q-Networks in tensorflow

dqn-tensorflow icon dqn-tensorflow

[星标最多DQN]Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

drl-flappybird icon drl-flappybird

[简单的DQN用于实验]Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)

drl_path_planning icon drl_path_planning

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

eband_local_planner icon 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.

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