PGKANG

PGKANG

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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scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

License:GPL-3.0Stargazers:0Issues:0Issues:0

Carla-RL

Reinforcement Learning codebase for self-driving car in Carla

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leeml-notes

李宏毅《机器学习》笔记,在线阅读地址:https://datawhalechina.github.io/leeml-notes

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Self-Driving-Vehicle-Control-Using-Carla

In this project I implement a controller for the CARLA simulator. The goal was to control the vehicle to follow a race track by navigating through preset waypoints (x,y,speed). The vehicle needs to reach these waypoints at certain desired speeds, so both longitudinal and lateral control was required.

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Dive-into-DL-TensorFlow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的同意

License:Apache-2.0Stargazers:0Issues:0Issues:0

Deep-Learning-with-TensorFlow-book

深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

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ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

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faceai

一款入门级的人脸、视频、文字检测以及识别的项目.

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EffectivePyTorch

PyTorch tutorials and best practices.

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Self-Driving-Cars

Coursera Open Courses from University of Toronto

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Lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

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Dive-into-DL-PyTorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

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DeepRL-Tutorials

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

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100-Days-Of-ML-Code

100-Days-Of-ML-Code中文版

License:MITStargazers:0Issues:0Issues:0

hybrid-a-star-annotation

Hybrid A*路径规划器的代码注释

License:BSD-3-ClauseStargazers:0Issues:0Issues:0

tensorflow_practice

tensorflow实战练习,包括强化学习、推荐系统、nlp等

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Motion-Planning-on-CARLA

Implement Motion Planning for autonomous car on CARLA simulator

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Online-Vehicle-Routing-DRL

PyTorch implementation of Online Vehicle Routing With Neural Combinatorial Optimization and Deep Reinforcement Learning https://ieeexplore.ieee.org/document/8693516

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pytorch-tutorials-examples-and-books

PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍

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machine_learning_derivation

notes of machine learning algorithm derivation

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ROS-Academy-for-Beginners-Book-Melodic

**大学MOOC---《机器人操作系统入门》讲义,升级版本

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machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

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VIO-Doc

主流VIO论文推导及代码解析

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ROS-Academy-for-Beginners

**大学MOOC《机器人操作系统入门》代码示例 ROS tutorial

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ROS-Academy-for-Beginners-Book

**大学MOOC---《机器人操作系统入门》讲义

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RL-Adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

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AutonomousDrivingCookbook

Scenarios, tutorials and demos for Autonomous Driving

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